Selective performance of automated telephone calls to reduce latency and/or duration of assistant interaction

ABSTRACT

Implementations are directed to using an assistant to initiate automated telephone calls with entities. Some implementations identify an item of interest, identify a group of entities associated with the item, and initiate the calls with the entities. During a given call with a given entity, the assistant can request a status update regarding the item, and determine a temporal delay before initiating another call with the given entity to request a further status update regarding the item based on information received responsive to the request. Other implementations receive a request to perform an action on behalf of a user, identify a group of entities that can perform the action, and initiate a given call with a given entity. During the given call, the assistant can initiate an additional call with an additional entity, and generate notification(s), for the user, based on result(s) of the given call and/or the additional call.

BACKGROUND

Automated assistants can be interacted with by a user via a variety ofcomputing devices, such as smartphones, tablet computers, wearabledevices, automobile systems, standalone personal assistant devices, andso forth. The automated assistants receive input from the user (e.g.,spoken, touch, and/or typed) and respond with responsive output (e.g.,visual and/or audible).

A user can interact with an automated assistant to cause the automatedassistant to perform action(s) on behalf of the user. As one example,the automated assistant can place telephone calls on behalf of the userto perform a given action, and can engage in a dialog with an additionaluser to perform the action(s). For instance, a user can provide inputsthat request the automated assistant inquire about an item or serviceover the phone and on behalf of the user. The automated assistant caninitiate an automated telephone call with a particular entity associatedwith the item or service, and can provide information to an additionaluser associated with the particular entity to make the inquiry. Theautomated assistant can then notify the user of a result of theautomated telephone call and/or search results associated with theparticular entity can be updated based on the result.

However, for some action(s) performed by the automated assistant onbehalf of the user, the particular entity may be unable to fully satisfya request of the user, resulting in wasted computational and/or networkresources utilized in performing the action(s). As one example, assumethe automated assistant is making the inquiry over the phone and onbehalf of the user as described above, and further assume an additionaluser associated with the particular entity indicates that the item orservice is not available. Some automated assistants can determine thatthe item or service is not available, and simply provide a notificationto the user that reflects that the item or service is not available.Accordingly, the computational and/or network resources utilized inperforming the automated call are wasted. Further, the user may manuallymake other telephone call(s) to other entities and/or cause theautomated assistant to make other automated telephone call(s) to otherentities in an attempt to satisfy the request, causing yet further usageof computational and/or network resources. Yet further, other user(s)may make manual and/or automated calls to the particular entity with thesame or similar request that cannot be satisfied by the particularentity, resulting in yet further usage of computational and/or networkresources.

SUMMARY

Implementations are directed to using an automated assistant to initiateand perform automated telephone call(s). In some implementations, theautomated telephone call(s) can be initiated and performed in responseto a request to initiate and perform the automated telephone call(s).The automated assistant can identify a group of entities associated withthe request, and can initiate a corresponding automated telephone callwith one or more of the entities of the group to perform an actionassociated with the request. Further, the automated assistant canperform the action associated with the request through renderinginstance(s) of synthesized speech related to the request. At least someof the instance(s) of synthesized speech can be generated based on therequest and based on processing response(s), during the automatedtelephone call, that are from a representative of the entity that isparticipating in the telephone call.

In some implementations, the request to initiate and perform theautomated telephone call(s) can be based on analyzing query activity ofa plurality of users. The automated assistant can identify, based onanalyzing the query activity, term(s) corresponding to an item ofinterest or service that are included in a threshold number of queries(and optionally across a threshold duration of time). In response toidentifying that the term(s) corresponding to the item of interest orthe service are included in the threshold number of queries (andoptionally across the threshold duration of time), the automatedassistant can identify the group of entities associated with the item ofinterest or service in one or more databases. For example, assume thatthere is a surge in queries for toilet paper. In this example, therequest can be a request for a status update regarding toilet paper ateach of the entities of the group, and each of the entities can beidentified based on the entities being stored in association with atoilet paper item. In some versions of those implementations, theentities included in the group may be restricted to a particulargeographical area from or near (e.g., within 10 miles, 50 miles, orother distance threshold) which the analyzed queries of the queryactivity originated and/or restricted to a particular type of entity orentities (e.g., pharmacies, supermarkets, convenience stores, grocerystores, etc.) stored in association with the item of interest.Continuing with the above example, further assume that the recent surgeof the queries originate from Jefferson County, Ky. In this example, theentities included in the group can be restricted to those that arephysically located in Jefferson County, Ky., (or within a thresholddistance thereof) and that are stored in association with the toiletpaper item. The automated assistant can also intelligently identify thecorresponding meaningful types of entities relevant to the item ofinterest. Continuing the above example, the automated assistant canidentify that toilet paper is predominantly sold at entities likesupermarkets, convenience stores, grocery stores, etc., and the relevantstores in Jefferson County, Ky. would be included in the group ofentities.

In some versions of those implementations, each of the entities of thegroup may be called in parallel using instance(s) of the automatedassistant. During each of the automated telephone call(s), the actionassociated with the request can be performed through rendering theinstance(s) of the synthesized speech (e.g., requesting the statusupdate), and information can be received from a representativeassociated with a corresponding one of the entities responsive to thesynthesized speech. Further, the automated assistant can determine atemporal delay before initiating a subsequent additional correspondingautomated telephone call with the given entity to perform the actionagain. Moreover, the automated assistant can initiate the subsequentadditional corresponding automated telephone call with the given entityto perform the action again responsive to determining that the temporaldelay has lapsed.

For example, assume the request is a request for a status updateregarding toilet paper at each of the entities of the group, and assumethat the representative associated with the given entity indicates thatthe given entity has enough toilet paper to last for three days. In thisexample, the automated assistant can assign a time period of 72 hours asthe temporal delay based on the information received form therepresentative. Accordingly, the automated assistant will not initiate asubsequent corresponding automated telephone call with the given entityuntil the time period of 72 hours has lapsed. In contrast, assume thatthe representative associated with the given entity indicates that thegiven entity might not have enough toilet paper to last the rest of theday. In this example, the automated assistant can assign a time periodof four hours as the temporal delay based on the information receivedform the representative. Accordingly, the automated assistant willinitiate a subsequent corresponding automated telephone call with thegiven entity later that same day. In these and other manners, acorresponding temporal delay can be dynamically determined for eachentity based on information received during automated telephone call(s)with the entity. Dynamically determining the temporal delay in suchmanners can balance the technical benefits achieved with maintainingup-to-date information from the entity with the resources utilized ininitiating and performing the automated telephone call(s). Put anotherway, dynamically determining the temporal delay can prevent anotherautomated phone call to the entity from being performed too quickly,which leads to unnecessary utilization of computational and/or networkresources—while ensuring that information from the entity is up-to-date.

In other implementations, the request to initiate and perform theautomated telephone call(s) can be based on user input from a user of acomputing device associated with the automated assistant. The automatedassistant can identify, based on processing the user input, an item ofinterest or service associated with the request. In response toidentifying the item of interest or the service in the user input, theautomated assistant can identify the group of entities associated withthe item of interest or service in one or more databases. For example,assume the user of the computing device provides user input of “find mea roofer”. In this example, the request can be a request foravailability regarding a roofer from each of the entities of the group,and each of the entities can be identified based on the entities beingstored in association with a roofing item. In some versions of thoseimplementations, the entities included in the group may be restricted tothose within a threshold distance of a location of the computing deviceof the user. Continuing with the above example, the entities included inthe group can be restricted to those that are within ten miles of thelocation of the computing device of the user, and that are stored inassociation with the roofing service. If there are no entities includedin the group, then the threshold distance may be increased until one ormore entities are included in the group.

In some versions of those implementations, each of the entities of thegroup may be called in a staggered manner using instance(s) of theautomated assistant. The automated assistant can initiate a firstautomated telephone call with a first one of the entities of the group.The action associated with the request can be performed throughrendering the instance(s) of the synthesized speech (e.g., requestingthe status update, requesting availability of the service, and/or otheractions), and information can be received from a representativeassociated with the first entity of the group responsive to thesynthesized speech. Further, the automated assistant can determine acall initiation time associated with each of the other entities of thegroup. As described in greater detail herein (e.g., with respect to FIG.1 ), the call initiation time can be a set duration of time afterinitiating each of the automated telephone call(s), determined based onhistorical call data associated with each of the entities of the group,determined based on progress on the automated telephone call(s), and/orother data related to the automated telephone call(s). The automatedassistant can continue initiating the automated telephone call(s) withthe entities of the group until the request is satisfied.

Moreover, the automated assistant can generate notification(s) based ona result of one or more of the automated telephone call(s), such thatone or more notifications can be rendered for each of the automatedtelephone calls initiated and performed by the automated assistant.Further, the automated assistant can cause the computing device of theuser to audibly and/or visually render the notification(s) at thecomputing device of the user. In some further versions of thoseimplementations, the notification(s) can include prompt(s) requestingthat the user of the computing device authorize providing of userinformation to the representative associated with the given entity. Asdescribed herein, in various implementations the call initiation timesutilized in staggering the automated calls can be determined in view ofseeking to lessen latency with which the notification(s) are providedand/or to lessen the overall duration of the interaction of the userwith the automated assistant. In many of those implementations, the callinitiation times are further determined in view of seeking to mitigateunnecessarily calling and/or unnecessarily prolonging call duration witha later called entity or entities (e.g., in the situation where anearlier called entity can satisfy the action). Determining the callinitiation times in such manner(s) can balance the technical benefitsachieved with lessening latency and/or interaction duration with theresources utilized in performing automated telephone calls.

In various implementations, the result(s) associated with the entitiesof the group can be updated based on the information obtained during theautomated telephone call(s). For example, assume that the request is arequest for a corresponding status update regarding a toilet paper itemthat originates from an information retrieval system like a searchinterface. Further assume first information received from a firstrepresentative associated with a first entity indicates that the firstentity has enough toilet paper to last for three days, and that secondinformation received from a second representative associated with asecond entity indicates that the second entity might not have enoughtoilet paper to last the rest of the day. In this example, the result(s)associated with the first entity and the second entity can be updated toinclude a respective indication of the information received during theautomated telephone call(s). In some versions of those implementations,the updated result(s) may further include a temporal indication of whenthe information was received. In these and other manners, users areprovided with an indication of information for an entity, and optionallya temporal indication of the information, which can at least selectivelyprevent the user from manually calling the entity to seek suchinformation and/or causing an automated call to be initiated for theentity to seek such information and/or can mitigate risks of a usertravelling to and from a location associated with an entity. At least inthe aggregate and across a large population of users, this can lessenthe overall quantity of phone calls to the entity, thereby conservingnetwork resources and/or computational resources that would otherwise beutilized in such calls.

The above description is provided as an overview of only someimplementations disclosed herein. Those implementations, and otherimplementations, are described in additional detail herein.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 depicts a block diagram of an example environment thatdemonstrates various aspects of the present disclosure, and in whichimplementations disclosed herein may be implemented.

FIG. 2 depicts a flowchart illustrating example method of determining atemporal delay for a subsequent automated telephone call with a givenentity based on a status update regarding an item of interest receivedduring an automated telephone call with the given entity, in accordancewith various implementations.

FIG. 3 depicts a flowchart illustrating example method of determiningwhether to initiate an additional automated telephone call with anadditional entity based on information received during an automatedtelephone call with a given entity, in accordance with variousimplementations.

FIG. 4A, FIG. 4B, FIG. 4C, and FIG. 4D depict non-limiting examples ofdetermining temporal delays for subsequent automated telephone callswith various entities and updating results associated with each of thevarious entities based on results of automated telephone calls, inaccordance with various implementations.

FIG. 5A, FIG. 5B, FIG. 5C, and FIG. 5D depict non-limiting examples ofinitiating, on behalf of a user, automated telephone calls with variousentities and causing notifications associated with each of the variousentities to be rendered based on results of the automated telephonecalls, in accordance with various implementations.

FIG. 6A, FIG. 6B, and FIG. 6C also depict non-limiting examples ofinitiating, on behalf of a user, automated telephone calls with variousentities and causing notifications associated with each of the variousentities to be rendered based on results of the automated telephonecalls, in accordance with various implementations.

FIG. 7 depicts an example architecture of a computing device, inaccordance with various implementations.

DETAILED DESCRIPTION

FIG. 1 illustrates a block diagram of an example environment thatdemonstrates various aspects of the present disclosure. A client device110 is illustrated in FIG. 1 , and includes, in various implementations,user input engine 111, rendering engine 112, notification engine 113,speech recognition engine 120A1, natural language understanding (“NLU”)engine 130A1, and speech synthesis engine 140A1.

The user input engine 111 can detect user input at the client device110. The user input detected at the client device 110 can include spokeninput detected via microphone(s) of the client device 110 and/oradditional spoken input transmitted to the client device 110 from anadditional client device of an additional user (e.g., during anautomated telephone call), touch input detected via a user interface ofthe client device 110, and/or typed input detected via a user interfaceof the client device 110. The additional user can be, for example, ahuman representative associated with an entity, an automated assistantassociated with the entity, an interactive voice response system (“IVR”system) associated with the entity, and/or a combination thereof. Theautomated telephone calls described herein can be performed usingvarious voice communication protocols including, for example, Voice overInternet Protocol (VoIP), public switched telephone network (PSTN),and/or other telephonic communication protocols. Moreover, the automatedtelephone calls described herein can be initiated and performed using anautomated assistant 115 that is executed locally at the client device110 (e.g., a local assistant), remotely at one or more servers (e.g., acloud-based assistant), and/or a combination thereof (e.g., as indicatedby dashed lines in FIG. 1 ).

In various implementations, the automated assistant 115 can initiate andperform the automated telephone calls using automated request system180. In implementations where the automated assistant 115 is executedlocally at the client device 110, the automated request system 180 canbe executed locally on the client device 110 such that the automatedtelephone calls are initiated and performed using only resources of theclient device 110. In implementations where the automated assistant 115is executed remotely at one or more of the servers, the automatedrequest system 180 can be executed remotely at one or more of theservers such that the automated telephone calls are initiated andperformed using only resources of one or more of the servers. Inimplementations where the automated assistant 115 is executed in adistributed manner as shown in FIG. 1 , the automated request system 180can be executed remotely at one or more of the servers in communicationwith the client device 110 over network(s) 190. The network(s) 190 caninclude, for example, Wi-Fi, Bluetooth, near-field communication, localarea network(s), wide area network(s), other networks, and/or anycombination thereof.

The automated request system 180 includes, in various implementations,speech recognition engine 120A2, NLU engine 130A2, speech synthesisengine 140A2, and automated telephone call engine 150. Further, theautomated telephone call engine 150 includes, in variousimplementations, query analysis engine 151, request handling engine 152,entity identification engine 153, request performance engine 154, updateengine 155, and authorization engine 156, and temporal delay engine 157.

In some implementations, the automated assistant 115 can initiate andperform automated telephone calls, using the automated request system180, in response to detecting user input, from a given user of theclient device 110 and via the user input engine 111, that includes arequest to initiate the automated telephone calls. The user input caninclude typed input or touch input detected via a touchscreen orkeyboard of the client device 110, and/or spoken input detected viamicrophone(s) of the client device 110. In implementations where theuser input engine 111 detects typed input or touch input, the clientdevice 110 can transmit an indication of the detected user input to therequest handling engine 152 of the automated telephone call engine 150over the network(s) 190. For example, the user input engine 111 candetect typed input or touch input via a search interface, an automatedassistant interface, and/or other interfaces of the client device 110,determine that the detected user input is directed to initiating andperforming the automated telephone calls, and transmit the detected userinput to the request handling engine 152 of the automated telephone callengine 150 for further processing of the detected user input.

In implementations where the user input engine 111 detects spoken inputof a given user via the microphone(s) of the client device 110, thespeech recognition engine 120A1 of the client device 110 can process,using speech recognition model(s) 120A, audio data generated by themicrophone(s) that captures the spoken input to generate recognized textcorresponding to the spoken input. Further, the NLU engine 130A1 of theclient device 110 can process, using NLU model(s) 130A, the recognizedtext generated by the speech recognition engine 120A1 to determineintent(s) included in the spoken input. For example, if the clientdevice 110 detects spoken input of “find toilet paper near me” from thegiven user, the client device 110 can process, using the speechrecognition model(s) 120A, audio data that captures the spoken input togenerate recognized text corresponding to the spoken input, and canprocess, using the NLU model(s) 130A, the recognized text to determineat least an intent of finding toilet paper proximate to a currentlocation of the given user as an action included in the request toinitiate and perform the automated telephone calls. In some versions ofthose implementations, the client device 110 can transmit the recognizedtext corresponding to the spoken input and/or the intent(s) determinedbased on the spoken input to the request handling engine 152 of theautomated telephone call engine 150 for further processing of therecognized text and/or intent(s).

In other implementations when the user input engine 111 detects spokeninput of the given user via the microphone(s) of the client device 110,the automated assistant 115 can cause the client device 110 to transmitthe audio data that captures the spoken input to the automated requestsystem 180. The speech recognition engine 120A2 and/or the NLU engine130A2 of the assisted call system 180 can process the audio data thatcaptures the spoken input in a similar manner described above withrespect to the speech recognition engine 120A1 and/or the NLU engine130A1 of the client device 110. Further, the spoken input and/or theintent(s) determined based on the spoken input to the request handlingengine 152 of the automated telephone call engine 150 for furtherprocessing of the recognized text and/or intent(s). In some additionaland/or alternative implementations, the speech recognition engine 120A1and/or the NLU engine 130A1 of the client device 110 can be used in theconjunction with the speech recognition engine 120A2 and/or the NLUengine 130A2 of the automated request system 180 in a distributedmanner. Moreover, the speech recognition model(s) 120A and/or the NLUmodel(s) 130A can be stored locally on the client device 110, remotelyat the automated request system 180, and/or remotely at other server(s)in communication with the client device 110 and/or the automated requestsystem 180 over the network(s) 190.

In various implementations, the speech recognition model(s) 120A areend-to-end speech recognition model(s), such that the speech recognitionengine(s) 120A1 and/or 120A2 can generate recognized text correspondingto the spoken input directly using the model. For instance, the speechrecognition model(s) 120A can be an end-to-end model(s) used to generatethe recognized text on a character-by-character basis (or othertoken-by-token basis). One non-limiting example of such end-to-endmodel(s) used to generate the recognized text on acharacter-by-character basis is a recurrent neural network transducer(RNN-T) model. An RNN-T model is a form of sequence-to-sequence modelthat does not employ attention mechanisms. Unlike mostsequence-to-sequence models, which typically need to process the entireinput sequence (e.g., an audio data waveform, or mel-frequency Cepstralcoefficients (MFCCs) or other representation) to generate predictedoutput, an RNN-T model can be used to continuously process input samplesand stream output symbols (e.g., characters of the alphabet). Also, forexample, when the speech recognition model(s) are not an end-to-endspeech recognition model(s), the speech recognition engine(s) 120A1and/or 120A2 can instead generate predicted phoneme(s) (and/or otherrepresentations). For instance, with such models the predictedphoneme(s) (and/or other representations) are then utilized by thespeech recognition engine(s) 120A1 and/or 120A2 to determine recognizedtext that conforms to the predicted phoneme(s). In doing so, the speechrecognition engine(s) 120A1 and/or 120A2 can optionally employ adecoding graph, a lexicon, and/or other resource(s).

In some additional and/or alternative implementations, the automatedassistant 115 can initiate and perform the automated telephone calls,using the automated request system 180, without detecting any user inputvia the user interface input engine 111. In some implementations, thequery analysis engine 151 can analyze query activity stored in queryactivity database 151A, and can transmit a request to initiate andperform the automated telephone calls in response to determining one ormore conditions are satisfied. The query activity analyzed by the queryanalysis engine 151 can include queries submitted to a search engine(e.g., via a search interface or automated assistant interface) by aplurality of users using respective client devices. In some versions ofthose implementations, the one or more conditions can includedetermining whether a threshold number of queries for a given item orservice have been submitted by the plurality of users. For example, ifthe query analysis engine 151 determines, based on analyzing the queryactivity of the plurality of users using, that the plurality of usershave submitted 30,000 queries for “toilet paper”, or variants thereof(e.g., “TP”, “bathroom tissue”, and so on), exceeds the threshold numberof queries for the given item (e.g., toilet paper), then automatedassistant 115 may transmit a request to initiate and perform theautomated telephone calls to the request handling engine 152. In someversions of those implementations, the query activity may be restrictedto queries submitted by users in a particular geographic region. Forexample, the query activity may be restricted to queries submitted byusers in a particular zip code, county, municipality, town, city, state,country, and/or other geographic regions.

In some further versions of those implementations, the one or moreconditions can include determining whether the threshold number ofqueries for a given item or service have been submitted by the pluralityof users within a given time frame. Continuing with the above example,if the query analysis engine 151 determines that the 30,000 queries for“toilet paper”, or variants thereof, are submitted over a period of twoweeks, then the automated assistant may not transmit the request to therequest handling engine 152. However, if the query analysis engine 151determines that the 30,000 queries for “toilet paper” are submitted overa period of two days, then the automated assistant may not transmit therequest to the request handling engine 152. In this manner, the queryanalysis engine 151 can detect whether there is an increase in queriesfor the given item across a particular period of time. Moreover, invarious implementations, the query analysis engine 151 may only analyzea subset of the submitted queries in the query activity database 151A,such as those that seek to find or acquire the item of interest asopposed to that merely mention “toilet paper” or variants thereof. Inthis manner, the query analysis engine 151 can identify surges insubmitted queries from particular geographic regions.

The request handling engine 152 can process the received request todetermine action(s) associated with the request. The action(s)associated with the request can include requesting status updatesregarding an item of interest at a given entity, requesting availabilityof a given entity associated with a particular service during a periodof time, and/or other actions that can be performed by the automatedassistant 115 during the automated telephone calls. In implementationswhere the request is based on user input detected at the client device110 via the user input engine 111, the request handling engine 152 candetermine the action(s) associated with the request based on theindication of the typed input and/or touch input, and/or the generatedrecognized text and/or determined intent(s) from the spoken input. Forexample, if the user input detected via the user input engine 111 isspoken input of “find an electrician that can work on my house tomorrowat 12:00 PM”, then the request handling engine 152 can determine theaction(s) include calling electrician(s) to request availability of theelectrician(s) for tomorrow at 12:00 PM based on the generatedrecognized text and/or the determined intent(s). In implementationswhere the request is based on analyzing the query activity withoutdetecting any user input at the client device 110 via the user inputengine 111, the request handling engine can determine the action(s)associated with the request based on the given item or service includedin the queries. For example, if the query analysis engine 151 determinesthat 5,000 queries including the terms “hand sanitizer” have beensubmitted by users in Jefferson County, Ky. within a one hour period,then the request handling engine 152 can determine the action(s) includecalling entities that are stored in association with hand sanitizer inJefferson County, Ky. to request status updates regarding theavailability of the hand sanitizer at each of the entities.

The entity identification engine 153 can identify a group of entities toengage with during the automated telephone calls. The entities can be,for example, a person entity, a business entity, a location entity,and/or other entities. In some implementations, the entityidentification engine 153 can also determine a particular type of theentities to be included in the group. For example, a type of the personentity can be a friend entity, a family member entity, a co-workerentity, and/or other particular types of person entities. Further, atype of the business entity can be a service provider entity, an airlineentity, a hotel entity, a retail store entity, and/or other particulartypes of business entities. Moreover, a type of the location entity canbe a school entity, a museum entity, a library entity, and/or otherparticular types of location entities. In some implementations, theentity identifying engine 153 can also determine a specific entity forthe identified entity. For example, a specific entity for a personentity can be a name of the person (e.g., John Doe, Example Plumber 1,etc.), a specific entity for a business entity can be a name of thebusiness (e.g., Example Super Store, Hypothetical Toy Store, ExamplePlumbing Company, etc.), and a specific entity for a location entity canbe a name of the location (e.g., Hypothetical Library, Example StatePark, etc.). Although the entities described herein can be defined byvarious levels of granularity, they are collectively referred to hereinas “entities” for the sake of simplicity.

Each of the entities identified by the entity identification engine 153can be stored in entities database 153A. Further, each of the entitiescan be stored in the entities database 153A in association with item(s)that they are associated with, service(s) that they are associated with,location(s) that they are associated with, webpages that they areassociated with, and/or other data associated with each of the entities.In some implementations, the entities database 153A can be populatedwith the entities and the associated data using a web crawler. Forexample, if a given entity is Hypothetical Toy Store, then a web crawlercan crawl the web page(s) associated with the Hypothetical Toy Store toidentify each location of the Hypothetical Toy Store, availableinventory of particular items at the Hypothetical Toy Store, andoperating hours of the Hypothetical Toy Store, and store this data inassociation with the Hypothetical Toy Store in the entities database153A. As another example, if a given entity is Hypothetical Café, then aweb crawler can crawl the web page(s) associated with the HypotheticalCafé to identify each location of the Hypothetical Café, menu itemsavailable at the Hypothetical Café, and operating hours of theHypothetical Café, and store this data in association with theHypothetical Café in the entities database 153A. In this manner, theentities database 153A includes a mapping between each of the entitiesstored therein and the data associated therewith. In some additionaland/or alternative implementations, the entities, or users that visitthe entities, can provide an indication of items that are associatedwith the entity.

In implementations where the request is based on received user inputdetected at the client device 110 via the user input engine 111, theentity identification engine 153 can identify the group of entities thatare each capable of satisfying the request in response to receiving theuser input. The entity identification engine 153 can initially identifyeach of the entities that are stored in association with the given itemor service, in the entities database 153A, included in the request as aninitial group of entities that are each capable of satisfying therequest. Further, the entity identification engine 153 can identify alocation of the client device 110 based on location data generated byone or more sensors of the client device 110 (e.g., GPS), and candetermine which of the entities in the initial group are within athreshold distance of the location of the client device 110. Moreover,the entity identification engine 153 can include the entities that arewithin the threshold distance of the location of the client device 110and that are capable of satisfying the request in the group of entities.For example, if the user input detected at the client device 110 isspoken input of “find paper towels”, then the entity identificationengine 153 can identify a current location of the client device 110,identify entities that are stored in association with paper towels inthe entities database 153A, determine which of the identified entitiesare within a ten mile radius of the current location of the clientdevice 110, and include each of the entities that are associated withpaper towels and that are within the ten mile radius of the currentlocation of the client device 110 in the group of entities.

In some versions of those implementations, the initially identifiedentities may be restricted to those that are stored in association withlocations that are within the threshold distance of the location of theclient device 110. Continuing with the above example, only entities thatare stored in association with paper towels and are within the ten mileradius of the client device 110 may be considered for inclusion in thegroup. In some versions of those implementations, the entityidentification engine 153 may only include a threshold number ofentities in the group. For instance, if the number of entities in thegroup exceed the threshold number of entities, then only the entitiesthat satisfy one or more criteria may be included in the group. The oneor more criteria can include, for example, a locational criteria, atemporal criteria, a rating criteria, a user preferences criteria,and/or other criteria. Continuing with the above example, if there areten entities that are associated with paper towels and that are withinthe ten mile radius of the current location of the client device 110,then only the five closest entities, the five highest-rated entities,and/or the five entities that are currently open as indicated by theoperating hours, or the five entities that the user of the client device110 has visited in the past or frequently visits. In some additionaland/or alternative versions of those implementations, the entityidentification engine 153 may identify an additional group of entitiesif the request cannot be satisfied by any of the entities in the groupof entities. The threshold distance may be modified in response todetermining that none of the entities of the group can satisfy therequest. Continuing with the above example, if none of the five entitiesin the group have paper towels available, then five additional entitieswithin the ten mile radius can be included in the additional group orthe ten mile radius can be expanded to fifteen miles or larger if thereare not five additional entities within the ten mile radius. In thismanner, the entities that are identified in response to the user inputare personal to the user that provided the user input.

In implementations where the request is based on analyzing queryactivity via the query analysis engine 151, the entity identificationengine 153 can identify the group of entities that are each capable ofsatisfying the request in response to receiving the request. The entityidentification engine 153 can identify each of the entities that arestored in association with the given item or service, in the entitiesdatabase 153A, included in the request as the group of entities that areeach capable of satisfying the request. For example, if the queryanalysis engine 151 determines that there is a recent surge in submittedqueries that include the terms “Hot Christmas Toy 2020”, then each theentities stored in association with Hot Christmas Toy 2020 can beincluded in the group of the entities. In some versions of thoseimplementations, the entity identification engine 153 can identify aparticular geographic region from which the queries in the queryactivity were submitted. Moreover, the entity identification engine 153can include the entities that are within the particular geographicregion and that are capable of satisfying the request in the group ofentities. Continuing with the above example, if the query analysisengine 151 determines the recent surge in queries for Hot Christmas Toy2020 originated in San Francisco County, Calif., then the entityidentification engine 153 can restrict the entities in the group to onlythose stored in association with a location within San FranciscoCountry, Calif. In this manner, the entities that are identified inresponse to the recent surge of the submitted queries are personal tothe particular geographic region from which the queries originated.

The request performance engine 154 can initiate and performcorresponding automated telephone calls with the entities of the groupidentified by the entity identification engine 153. More particularly,each of the automated telephone calls described herein can be initiatedand performed using various voice communication protocols including, forexample, Voice over Internet Protocol (VoIP), public switched telephonenetwork (PSTN), and/or other telephonic communication protocols.Moreover, each of the automated telephone calls described herein can bebetween the automated assistant 115 and a representative associated witha given entity, of the entities, of the group. The representative canbe, for example, a human representative associated with the givenentity, an additional automated assistant associated with the givenentity, an IVR system associated with the given entity, and/or anycombination thereof.

More particularly, the request performance engine 154 can cause theautomated assistant 115 to engage in a conversation, with therepresentative associated with the given entity, using synthesizedspeech, during the automated telephone call to perform the action(s)included in the request. The request performance engine 154 can providetext and/or phonemes related to performance of the request to the speechsynthesis engine 140A1 of the client device 110 and/or the speechsynthesis engine 140A2 of the assisted call system 180 to generatesynthesized speech audio data. The synthesized speech audio data can betransmitted, for audible rendering, to an additional client device ofthe representative associated with the given entity. The speechsynthesis engine(s) 140A1 and/or 140A2 can generate, using speechsynthesis model(s) 140A, the synthesized speech audio data that includessynthesized speech corresponding to the text and/or phonemes related toperformance of the request. For example, assume that the request is fora request for a status update regarding “Hot Christmas Toy 2020.” Inthis example, the speech synthesis engine(s) 140A1 and/or 140A2 candetermine a sequence of phonemes that correspond to a status update of“do you have Hot Christmas Toy 2020 available for sale,” and can processthe sequence of phonemes, using the speech synthesis model(s) 140A, togenerate synthesized speech audio data that captures the request for thestatus update regarding the Hot Christmas Toy. The synthesized speechaudio data can be, for example, in the form of an audio waveform. Indetermining the sequence of phonemes that correspond to at least thephonemes related to performance of the request, the speech synthesisengine(s) 140A1 and/or 140A2 can access a tokens-to-phonemes mappingstored locally at the client device 110 or stored remotely at server(s)via network(s) 190.

In various implementations, prior to performance of the request duringthe corresponding automated call with the given entity, the automatedassistant 115 can obtain consent from the representative associated withthe given entity to engage in a conversation with the automatedassistant 115. For example, the automated assistant 115 can obtainconsent upon initiating the automated telephone call by identifyingitself as the automated assistant 115 and prompting the representativeassociated with the given entity to consent to engaging in theconversation with the automated assistant. If the automated assistant115 obtains consent from the representative associated with the givenentity, then the automated assistant 115 can perform, using theautomated request system 180, the action included in the request.Further, the automated assistant may not prompt the representative inany subsequent automated telephone calls once consent has been obtained.However, if the automated assistant 115 does not obtain consent from therepresentative, then the automated assistant 115 can terminate theautomated telephone call.

The request performance engine 154 can engage in the conversation withthe representative associated with the given entity by renderingcorresponding instances of synthesized speech related to the request.Rendering of the corresponding instances of the synthesized speechincludes causing the synthesized speech to be rendered at an additionalcomputing device of the representative associated with the given entity.The corresponding instances of the synthesized speech can be generatedusing the speech synthesis model(s) 140A as described above, and can begenerated based on text and/or phonemes associated with the request.Moreover, the request performance engine 154 can utilize the speechrecognition engine(s) 120A1 and/or 120A2 and NLU engine(s) 130A1 and/or130A2 as described above to process any audio data corresponding toinformation received from the representative associated with the givenentity during the given entity. The request performance engine 154 cancause the automated assistant 115 to steer the conversation based on thereceived information during the conversation with the representative.For example, the automated assistant 115 can initially verify that thegiven entity is capable of satisfying the request. If the given entityverifies that it is capable of satisfying the request, then theautomated assistant 115 can further inquire as to satisfying therequest. However, if the given entity indicates that is not capable ofsatisfying the request, then the automated assistant 115 may terminatethe telephone call. This allows the automated assistant 115 tointelligently respond based on the received information during theautomated telephone call.

For example, assume the request is a request for a status updateregarding availability of latex gloves. In this example, synthesizedspeech audio data of “do you have any latex gloves available” can berendered at an additional client device of the representative, therepresentative may provide information of, for example, “yes” or “no”,and audio data that captures the received information can be processed.Based on processing the received audio data, the automated assistant 115can steer the conversation. For example, if the representative indicatesthat latex gloves are available at the given entity, then the requestperformance engine 154 may further request an available amount of thelatex gloves, whether the given entity anticipates the latex glovesbeing available the rest of the day, and so on. However, if therepresentative indicates that latex gloves are available at the givenentity, then the request performance engine 154 can cause the automatedassistant 115 to terminate the conversation. Engaging in theconversation with the representative associated with the given entity isdescribed in greater detail herein (e.g., with respect to FIGS. 4A-4C,5B-5D, and 6B-6C).

In implementations where the request is a request for a correspondingstatus update regarding a given item, the update engine 155 can causeresult(s) associated with the given entity to be updated based on theinformation received during a corresponding automated telephone callwith the representative associated with the given entity. Notably, theresult(s) associated with the given entity can be updated whether therequest is based on received user input detected via the user inputengine 111 or based on analyzing query activity via the query analysisengine 151. The updated result(s) associated with the given entity caninclude, for example, an indication of whether the given item isavailable at the given entity, an indication of an available quantity ofthe item at the given entity, and/or other information received duringthe corresponding automated telephone call with the representativeassociated with the given entity. Notably, the result(s) (also referredto herein as “search results”) can include any results that can besurfaced to users through various interfaces. For example, the resultscan be presented via an information retrieval system interface, anautomated assistant interface, a maps or navigation applicationinterface, a customized interface, and/or any other interface used tosurface information to a user.

For example, assume the request is a request for a status updateregarding toilet paper. In this example, the automated assistant 115 canengage in a conversation with a representative associated with a givenentity to request the status update regarding toilet paper at a givenentity. Further assume, during the conversation, that a representativeassociated with the given entity provides information that indicates thegiven entity has toilet paper available, and also provides informationas to an indication of an available quantity of toilet paper (e.g., “wehave plenty for the rest of the day”, “we have 100 packages of toiletpaper”, “we will run out before noon”, and so on). Based on thisreceived information, the update engine can cause the result(s)associated with the given entity to be updated to include an indicationthat the given entity has toilet paper available and the indication ofthe available quantity of toilet paper. In contrast with the aboveexample, assume the received information from the representativeassociated with the given entity indicates that the entity does not selltoilet paper. In this example, the result(s) associated with the givenentity can be updated to indicate that the given entity is notassociated with toilet paper. Further, the update engine 155 cantransmit an indication that the given entity is no longer associatedwith toilet paper, and the entity identification engine 153 can removethe association between toilet paper and the given entity in theentities database 153A.

In some versions of those implementations, the updated result(s)associated with the given entity can also include a temporal indicatorof when the information was received from the representative associatedwith the given entity. The temporal indicator can include, for example,a particular time that the information was received (e.g., 9:00 AM, 2:00PM), a particular date that the information was received (e.g.,yesterday, today, Jun. 11, 2020), a date range the information wasreceived (e.g., last week, yesterday morning, this afternoon), and/orany combination thereof. Updating the result(s) associated with multipleentities based on information received during corresponding automatedcalls is described in greater detail herein (e.g., with respect to FIGS.4A-4D). By updating the result(s) associated with the given entity,multiple users need not call the given entity to request the statusupdate regarding the item, thereby conserving computational resources ofclient devices of the multiple users and computational resources ofclient device(s) associated with the given entity. Put another way, asingle automated phone call and provisioning of information from thesingle automated phone call to multiple users, can prevent at least twoor more of the multiple users from making a call to the given entityseeking such information. Moreover, by updating the result(s) associatedwith the given entity, multiple users need not travel to multipleentities in search of the item, thereby conserving natural resourcesconsumed in transportation to the multiple entities by the multipleusers in search of the item.

In some versions of those implementations, the update engine 155 canalso analyze the updated result(s) associated with the given entity andpreviously updated results associated with the given entity to predict,for a future time, future availability of the item at the given entityor future available quantities of the item at the given entity. Theupdate engine 155 can predict, for the future time, the futureavailability of the item at the given entity or the future availablequantities of the item at the given entity using, for example, machinelearning prediction model(s) or rule(s) generated by machine learningprediction model(s). For example, the update engine 155 can determine,based on analyzing updated results associated with the given entity,that the given entity has not had any toilet available for the pastthree Thursdays and Fridays, but that the given entity has had toiletpaper available each of the past three Saturdays. Based on thisdetermination, the update engine 155 can predict that the given entitywill not have any toilet paper available this upcoming Thursday orFriday, but will have toilet paper available the following Saturday.Accordingly, at the beginning of the week, the update engine 155 cancause the result(s) to be updated to also include an indication that itis anticipated the given entity will not have any toilet paper availableon Thursday or Friday, but will have toilet paper available on Saturday.

In implementations where the request is based on received user inputdetected at the client device 110 via the user input engine 111, therequest performance engine 154 can initiate an automated telephone callwith an entity, of the entities, of the group to perform the actionincluded in the request. The request performance engine 154 candetermine a call initiation time to initiate performance of additionalautomated telephone calls with additional entities of the group.Further, the request performance engine 154 can determine each callinitiation time prior to or during the automated telephone calls. Insome versions of those implementations, the call initiation time can bea static threshold duration of time (e.g., 15 seconds, 30 seconds, 45seconds, and/or other durations of time). For example, the requestperformance engine 154 can cause the automated assistant 115 to initiatea first automated telephone call with a first entity of the group,initiate a second automated telephone call with a second entity of thegroup 30 seconds after initiating the first automated telephone callwith the first entity, initiate a third automated telephone call with athird entity of the group 30 seconds after initiating the secondautomated telephone call with the second entity, and so on for each ofthe entities of the group.

In other versions of those implementations, the request performanceengine 154 can determine each call initiation time based on historicalcall data (e.g., stored in historical call database 154A) associatedwith a corresponding one of the entities of the group and/or acomplexity of the request. The historical call data can include, forexample, an indication that the corresponding entity is associated withan IVR system and a duration of time to navigate the IVR system, anindication of a duration of time of previous automated telephone callswith the corresponding entity, an indication of a duration of an initialhold time during previous automated telephone calls with thecorresponding entity, and/or other call data derived from previousautomated telephone calls with each corresponding entity of the group.As one non-limiting example, if the historical call data indicates thata first entity of the group is not associated with an IVR system or anyhold time but a second entity of the group is associated with an IVRsystem that takes 20 seconds to navigate, then the request performanceengine 154 can cause the automated assistant 115 to simultaneouslyinitiate (e.g., at the same time or within a threshold amount of time(e.g., 500 milliseconds, 1 second, and/or other amounts of time)) afirst automated telephone call with the first entity of the groupinitiate a second automated telephone call with the second entity of thegroup. As another non-limiting example, if the historical call dataindicates that a first entity of the group is associated with an IVRsystem that takes 10 seconds to navigate and a second entity of thegroup is associated with an IVR system that takes 30 seconds tonavigate, then the request performance engine 154 can cause theautomated assistant 115 to initiate a first automated telephone callwith the first entity of the group and initiate a second automatedtelephone call with the second entity of the group after 10 seconds. Asyet another non-limiting example, if it is predicted that it will take45 seconds to perform the request based on the complexity of the requestand if the historical call data indicates that a first entity of thegroup is not associated with an IVR system (or any hold time), but asecond entity of the group is associated with an IVR system that takes20 seconds to navigate, then the request performance engine 154 cancause the automated assistant 115 to initiate a second automatedtelephone call with the second entity of the group 25 seconds afterinitiating a first automated telephone call with the first entity. Inthis example, the automated assistant may be afforded enough time toperform the request with the first entity (e.g., 45 seconds), andinitiate the second automated telephone call with the second entity suchthat a representative associated with the second entity should be activefor the second call after performance of the first automated telephonecall based on the 20 seconds to navigate the IVR and the 25 second delayfor the call initiation time being equal to the 45 seconds to performthe request. Further, this also provides the automated assistant anopportunity to terminate the second automated telephone call with thesecond entity if the first entity indicates that it can satisfy therequest. In contrast with this example, assume that the first entity isassociated with the IVR system that takes 20 seconds to navigate and thesecond entity is not associated with an IVR system or hold time. In thisexample, the call initiation time for the second automated telephonecall with the second entity may be 65 seconds to allow the automatedassistant 20 seconds to navigate the IVR system and perform the actionprior to initiating the second automated telephone call with the secondentity. The call initiation time can be determined in this dynamicmanner for each of the entities of the group.

In various implementations, the call initiation times utilized instaggering the automated call(s) can be determined in view of seeking tolessen latency with which the notification(s) are provided (e.g., asdescribed below with respect to the notification engine 113) and/or tolessen the overall duration of the interaction of the user with theautomated assistant. In many of those implementations, the callinitiation times are further determined in view of seeking to mitigateunnecessarily calling and/or unnecessarily prolonging call duration witha later called entity or entities (e.g., in the situation where anearlier called entity can satisfy the action). Determining the callinitiation times in such manner(s) can balance the technical benefitsachieved with lessening latency and/or interaction duration with theresources utilized in performing automated telephone calls. For example,by staggering the automated telephone call(s), entities can beselectively called until the request included in the user input issatisfied and without initiating and performing automated telephonecall(s) with each entity of the group. Moreover, the automated assistantis connected with the representative associated with each of theentities at an appropriate time such that the automated assistant neednot wait for a first automated telephone call to be concluded toinitiate a second automated telephone call and wait on hold or navigatean IVR, thereby lessening the interaction duration in performing theautomated telephone call(s).

In implementations where the request is based on received user inputdetected at the client device 110 via the user input engine 111, therequest performance engine 154 can continue initiating the automatedtelephone calls with the entities of the group in either mannerdescribed above until the request is satisfied by one of the entities ofthe group. In some versions of those implementations, the requestperformance engine 154 can cause the automated assistant 115 toproactively terminate automated telephone calls with other entities oncea representative associated with a given entity indicates that the givenentity can satisfy the request. For example, assume that arepresentative associated with a first entity of the group providesinformation that indicates the first entity can satisfy the request anda second automated call with a second entity of the group has beeninitiated. In this example, the request performance engine 154 can causethe automated assistant to terminate the second automated call with thesecond entity since the first entity can satisfy the request.

In other versions of those implementations, the request performanceengine 154 may continue performance of the additional automatedtelephone call, rather than proactively terminate the additionalautomated telephone call, even though the representative of the givenentity of the automated telephone indicated that the given entity cansatisfy the request. For instance, if the additional automated telephonecall has progressed past a threshold stage, then the request performanceengine 154 can cause the automated assistant 115 to continue performanceof the conversation with the additional entity. For example, the requestis a request for a status update regarding hand sanitizer, and furtherassume the automated assistant 115 is engaged in a conversation with arepresentative associated with a first entity of the during a firstautomated telephone call and has already initiated a second automatedtelephone call with a second entity of the group. In this example, if arepresentative associated with the first entity indicates that the firstentity has hand sanitizer available and the automated assistant 115 ison hold with the second entity or navigating an IVR system associatedwith the second entity, then the automated assistant 115 can terminatethe second automated telephone call. However, if the automated assistantis already engaged in a conversation with a representative associatedwith the second entity, then the automated assistant 115 may continueperformance of the second automated telephone call. Further, the updateengine 155 can cause the search result(s) associated with the secondentity to be updated based on the information received form therepresentative associated with the second entity as described above.

Notably, the automated telephone calls that are initiated and performedin response to receiving user input detected at the client device 110via the user input engine 111 can be initiated and performed by anautomated assistant that executes locally on the client device 110 or bya cloud-based automated assistant. By staggering initiation andperformance of the automated telephone calls in response to requestingthe user input, the techniques described herein can conservecomputational resources of client devices associated with the entities.For example, by staggering the automated telephone calls to identify agiven entity that can satisfy the request, the techniques describedherein avoid simultaneously calling each of the entities of the group toidentify a given one of the entities that can satisfy the request.Moreover, by continuing performance of active automated telephone callsafter another entity has already indicated it can satisfy the request,the techniques described herein avoid wasting computational resourcesconsumed by the active automated telephone calls as compared to simplyterminating the active telephone calls.

In implementations where the request is based on received user inputdetected at the client device 110 via the user input engine 111, and inresponse to determining that a representative associated with the givenentity indicates that the given entity can satisfy the request includedin the user input, the request performance engine 154 can causesynthesized speech that includes user data (e.g., stored in user datadatabase) to be rendered at a client device of the representativeassociated with the given entity. The user data can include nameinformation of the user of the client device 110, address information ofthe user of the client device 110, contact information of the user ofthe client device 110 (e.g., telephone number, email address, and/orother contact information), pecuniary information of the user of theclient device 110, and/or other information of the user of the clientdevice 110. In some versions of those implementations, the authorizationengine 156 can cause a prompt to be rendered on a display of the clientdevice 100 (e.g., using rendering engine 112) to authorize the automatedassistant 115 providing the user information to the representative. Theprompt can also include a selectable element that, when selected, allowsthe user of the client device 100 to join the automated telephone call.If the user of the client device 110 authorizes providing of the userdata to the representative of the given entity, then the automatedassistant can cause synthesized speech audio data that includes the userdata to be audibly rendered at the client device of the representativeassociated with the given entity. However, if the user of the clientdevice 110 does not authorize providing of the user data, then theautomated assistant 115 will refrain from causing the synthesized speechaudio data that includes the user data to be audibly rendered at theclient device of the representative associated with the given entity. Inother versions of those implementations, the user of the client device110 may have previously authorized providing of the user data, and theautomated assistant 115 can cause the synthesized speech audio data thatincludes the user data to be audibly rendered at the client device ofthe representative associated with the given entity without promptingthe user for the authorization.

In some versions of those implementations where the request included inthe user input is a request for a status update regarding an item andthe representative associated the given entity indicates that the itemis available, the automated assistant 115 can request that therepresentative place the item on hold, at the given entity, for the userof the client device 110, or submit pecuniary information to therepresentative to acquire the item on behalf of the user of the clientdevice. The request performance engine 154 can determine whether toplace the item or hold or acquire the item based on the user input(e.g., “find and reserve disinfectant wipes for me”, “find an acquiredisinfectant wipes on my behalf”, and so on), or prompt the user as towhether the user of the client device 110 would like to place the itemon hold or acquire the item (e.g., via rendering engine 112).

For example, assume the request is a request for a status updateregarding disinfectant wipes, and further assume that the representativeof the given entity indicates that disinfectant wipes are available atthe given entity. Further, in response to determining that the item isavailable at the given entity and in response to determining that theuser of the client device 110 wants to acquire the item, the automatedassistant 115 can cause synthesized speech audio data to be rendered ata client device of the representative associated with the given entitythat includes the user's name, contact information, and pecuniaryinformation (if authorized). As another example, assume the request is arequest for availability of a plumbing service for a given time anddate, and further assume that the representative of the given entityindicates that the plumbing service is available for the given time anddate. Further, in response to determining that the plumbing service isavailable at the given time and date and in response to determining thatthe user of the client device 110 wants to reserve the given time anddate, the automated assistant 115 can cause synthesized speech audiodata to be rendered at a client device of the representative associatedwith the given entity that includes the user's name, address, andcontact information (if authorized).

In implementations where the request is based on received user inputdetected at the client device 110 via the user input engine 111, theautomated assistant 115 can cause the notification engine 113 togenerate a notification that includes a result of one or more of theautomated telephone calls. The notification generated by thenotification engine 113 can be rendered visually via a display of theclient device 110 and/or audibly via speaker(s) of the client device 110(e.g., using the rendering engine 112). The result of the conversationcan include, for example, an indication of whether the given entity isable to satisfy the request, an indication whether an item or servicehas been placed on hold or reserved for the user of the client device110, an indication of whether an item was acquired for the user of theclient device 100, an indication that authorization is needed to submituser data of the user of the client device 110 to acquire the item, anindication that requests the user of the client device 110 to join theautomated telephone call with the given entity, and/or other results ofthe conversation. The notification generated by the notification engine113 may be a banner notification, a pop-up notification, an emailnotification, a text message notification, a voice message notification,and/or other types of notifications. Generating the notification(s)based on a result of the conversation is described in greater detailherein (e.g., with respect to FIGS. 5B-5D, 6B, and 6C).

In various implementations, the rendering engine 112 can cause atranscript of the conversation between the automated assistant 115 andthe representative of a given entity to be rendered on a display of theclient device 110. Moreover, the display may also include one or moreselectable elements that, when selected, allows the user of the clientdevice 110 to join the conversation, end an automated telephone callwith the given entity, and/or perform other actions. In implementationswhere the automated assistant 115 is engaged in multiple conversationswith multiple entities, a corresponding transcript for each of theconversations can be rendered on the display of the client device 110.In some versions of those implementations, each transcript may beassociated with a tab in an automated assistant interface that enablesthe user of the client device 110 to switch between the transcripts ofthe multiple conversations since the client device 110 may have limitedscreen real estate. In other implementations, no transcripts may bedisplayed and the user of the client device 110 may simply receive thenotification(s) described above.

In implementations where the request is based on analyzing queryactivity via the query analysis engine 151, the request performanceengine 154 can cause the automated assistant 115 to initiate acorresponding automated telephone call with a given entity, of theentities, of the group to perform the action included in the request. Insome implementations, the request performance engine 154 can causemultiple instances of the automated assistant 115 described herein tosimultaneously initiate and perform a plurality of correspondingautomated telephone calls with a corresponding one of the entities ofthe group. For example, a first instance of the automated assistant 115can initiate and perform a first automated telephone call with a firstentity of the group, a second instance of the automated assistant 115can simultaneously initiate and perform a second automated telephonecall with second entity of the group, and so on for each of the entitiesof the group. Put another way, instances of the automated assistant 115can initiate and perform each of the automated telephone calls inparallel. In other implementations, the corresponding automatedtelephone calls can be initiated and performed in batches (e.g., with asubset of the group of the entities) or sequentially. Notably, each ofthe instances of the automated assistant 115 may be executed remotely atserver(s) (e.g., cloud-based automated assistant) along with theautomated request system 180, and the client device 110 may be omitted.

Each of the instances of the automated assistant can engage in acorresponding conversation with a corresponding one of the entities toperform the action included in the request. The temporal delay engine157 can determine a temporal delay before initiating performance of asubsequent corresponding automated telephone call with the correspondingentity based on information received during each of the correspondingconversations. Further, the temporal delay engine 157 can assign variousperiods of time as the temporal delay based on information receivedduring the corresponding automated telephone call, hours of operationassociated with the corresponding entity, laws restricting whetherand/or when automated telephone may be performed, computational and/ornetwork bandwidth considerations (e.g., “slow” time periods fortelephone calls, such as early in the morning). Moreover, the temporaldelay engine 157 can store the time periods assigned as the temporaldelay in association with the corresponding entity in the temporaldelay(s) database 157A. In implementations where the request is for astatus update regarding an item, the period of time assigned to thetemporal delay can be based on an indication of an available quantity ofthe item. For instance, a first period of time can be assigned as thetemporal delay if the available quantity of the item falls within afirst quantity range, a second period of time can be assigned as thetemporal delay if the available quantity of the item falls within asecond quantity range, and so on for various quantity ranges of theitem. As another instance, a first period of time can be assigned as thetemporal delay if the available quantity of the item satisfies athreshold quantity, whereas a second period of time can be assigned asthe temporal delay if the available quantity of the item fails tosatisfy the threshold quantity.

For example, assume the request is a request for a status updateregarding toilet paper, and further assume a representative associatedwith a given entity indicates toilet paper is available at the givenentity. Moreover, assume the representative associated with the givenentity indicates that there is a sufficient quantity of toilet paper tolast the remaining part of the day. In this example, the temporal delayengine 157 can assign a first time period to the temporal delayassociated with the given entity such that the automated assistant 115will not initiate a subsequent corresponding automated telephone callwith the given entity until at least the following day. In contrast,assume the representative associated with the given entity indicatesthat there is the quantity of toilet paper will not last until the endof the day. In this example, the temporal delay engine 157 can assign asecond time period to the temporal delay associated with the givenentity such that the automated assistant 115 will initiate a subsequentcorresponding automated telephone call with the given entity later thatsame day. Notably, these temporal delays will lapse at different timesbased on the information received during the automated telephone call.Moreover, search result(s) associated with the given entity can beupdated based on the information received during the automated telephonecall(s) as described above with respect to the update engine 155. Inthese and other manners, a corresponding temporal delay can bedynamically determined for each entity based on information receivedduring automated telephone call(s) with the entity. Dynamicallydetermining the temporal delay in such manners can balance the technicalbenefits achieved with maintaining up-to-date information from theentity with the resources utilized in performing automated telephonecalls. Put another way, dynamically determining the temporal delay canprevent another automated phone call to the entity from being performedtoo quickly, which leads to unnecessary utilization of computationaland/or network resources—while ensuring that information from the entityis up-to-date.

By using the techniques described herein, various technical advantagescan be achieved. As one non-limiting example, the automated assistant115 can successfully perform the automated telephone calls to satisfythe request in a quicker and more efficient manner since the automatedtelephone calls can be intelligently initiated using the automatedrequest system 180. By intelligently initiating the automated telephonecalls, both network and computational resources can be conserved since alength of the conversation and number of the conversations can bereduced by using the techniques disclosed herein. As anothernon-limiting example, the search result(s) associated with the entitiescan be updated based on information received during the conversations.By updating the search result(s) associated with the entities, theentities receive fewer telephone calls from a plurality of other userssince each the other users need not individually initiate telephonecalls with each of the entities to request status updates regardingvarious items and/or inquire about availability of various services.Moreover, although FIG. 1 is described herein with respect to requestingstatus updates regarding a single item or service, it should beunderstood that is for the sake of example and is not meant to belimiting. For example, the automated assistant 115 can request statusupdates regarding a plurality of items during a corresponding automatedtelephone call with a given one of the entities of the group.

FIG. 2 depicts a flowchart illustrating an example method 200 ofdetermining a temporal delay for a subsequent automated telephone callwith a given entity based on a status update regarding an item ofinterest received during an automated telephone call with the givenentity. For convenience, the operations of method 300 are described withreference to a system that performs the operations. This system ofmethod 300 includes one or more processors and/or other component(s) ofa computing device, such as client device 110 of FIG. 1 , computingdevice 410A, 410B of FIGS. 4A-4D, computing device 510 of FIGS. 5A-5D,computing device 610 of FIGS. 6A-6C, computing device 710 of FIG. 7 ,one or more remote servers, and/or other computing devices. Moreover,while operations of method 300 are shown in a particular order, this isnot meant to be limiting. One or more operations may be reordered,omitted, or added.

At block 252, the system identifies an item of interest. In someimplementations, the item of interest can be identified based onanalyzing query activity of a plurality of users to identify a surge ofsubmitted queries as described in more detail above (e.g., with respectto the query analysis engine 151 of FIG. 1 ). In some versions of thoseimplementations, the surge of the submitted queries may originate from aparticular geographic region. In other implementations, the item ofinterest can be identified based on user input from a user that causesthe system to perform the method 200. At block 254, the systemidentifies a group of entities associated with the item of interest. Theentities of the group may be stored in association with the item ofinterest in one or more databases (e.g., the entity identificationengine 153 and the entities database 153A of FIG. 1 ). The system canretrieve the entities from one or more of the databases. Inimplementations where the surge of the submitted queries may be from theparticular geographic region, the entities in the group may berestricted to those located in the particular geographic region.

At block 256, the system initiates performance of a correspondingautomated telephone call with each of the entities of the group torequest a corresponding status update regarding the item of interest.The system can initiate the automated telephone call by placing theautomated telephone call and rendering one or more correspondinginstances of synthesized speech that request the corresponding statusupdate regarding the item of interest. In some implementations, thesystem can simultaneously initiate performance of a plurality ofcorresponding automated telephone calls with each of the entities of thegroup using corresponding instances of an automated assistant (e.g.,automated assistant 115). In other implementations, the system may onlyinitiate performance with a subset of the entities, such that automatedtelephone calls with each of the entities are initiated in batches untilthe automated telephone calls with each of the entities of the grouphave been performed. In various implementations, the instances of theautomated assistant can be instances of a cloud-based assistant.

At block 258, during performance of the corresponding automatedtelephone call with a given entity, of the entities, of the group, thesystem: A) requests the corresponding status update regarding the itemof interest from a representative associated with the given entity, andB) receives, from the representative, information regarding the item ofinterest. The system can perform the corresponding automated telephonecall by engaging in a conversation with the representative associatedwith the given entity. Further, the system can request the correspondingstatus update by rendering one or more of the corresponding instances ofsynthesized speech during each of the automated telephone calls. Forexample, the system can cause synthesized speech (e.g., “hello, do yousell toilet paper?”, “Do you have any toilet paper available?”, “Howmuch toilet paper do you have available?”) to be rendered at a computingdevice of the representative associated with the given entity. Further,the system can process audio data corresponding to the informationreceived during the corresponding automated telephone call using speechrecognition model(s) (e.g., as described in greater detail with respectto the speech recognition model(s) of FIG. 1 ). The information receivedfrom the representative may be responsive to the rendering of thesynthesized speech. As described in greater detail above with respect toFIG. 1 , the system can intelligently respond to the representativeduring the conversation.

At block 260, the system updates search result(s) associated with thegiven entity to include the information regarding the item of interest.The search result(s) can be updated for each of the entities in thegroup in response to receiving corresponding information from each ofthe entities. In some implementations, the updated search result(s) mayalso include a temporal indicator of when the corresponding automatedtelephone call was performed and the information was received. Forexample, assume the received information indicates that Example Store 1has toilet paper available. The search result(s) associated with ExampleStore 1 can be updated to indicate toilet paper is available at ExampleStore 1 along with a time and date that the information was received.

At block 262, the system determines whether the given entity is stillassociated with the item of interest. The system can determine whetherthe given entity is still associated with the item of interest based onprocessing the received information regarding the item of interest fromblock 258. If, at an iteration of block 262, the system determines thegiven entity is still associated with the item of interest, the systemproceeds to block 264. For example, assume the system causes synthesizedspeech of “do you sell toilet paper?” to be rendered at a computingdevice associated with the representative to verify the given entity isstill associated with the item of interest. Further assume that receivedinformation indicates that Example Store 1 sells toilet paper. In thisexample, the system has verified that the given entity is stillassociated with the item of interest.

At block 264, the system determines, based on the received informationregarding the item, a temporal delay before initiating performance of acorresponding subsequent automated telephone call with the given entity.Further, the system can assign the determined temporal delay to thegiven entity in one or more databases. The determined temporal delay canbe a time period that is assigned to the given entity based on anavailable quantity of the item of interest. For example, assume arepresentative associated with Example Store 1 indicates that there is asufficient quantity of toilet paper for three days. In this example, thesystem may assign a time period of three days as the temporal delaybased on the received information indicating that there is sufficientquantity of toilet paper for three days at Example Store 1. In contrast,assume the representative associated with Example Store 1 anticipatesthat there is only a sufficient quantity of toilet paper for themorning. In this example, the system may assign a time period of fivehours as the temporal delay based on the received information indicatingthat there is sufficient quantity of toilet paper for three days atExample Store 1

At block 266, the system determines whether the temporal delay, assignedto the given entity, determined at block 264 has lapsed. If, at aniteration of block 266, the system determines that the temporal delayhas not lapsed, then the system continues monitoring for the lapse ofthe temporal delay, assigned to the given entity, at block 266. Notably,although the corresponding automated telephones may initially beperformed in parallel, the corresponding subsequent automated telephonecalls are initiated based on the lapse of the determined temporaldelays. However, if at an iteration of block 266, the system determinesthe temporal delay determined at block 264 has lapsed, then the systemproceeds to block 268.

At block 268, the system initiates performance of the correspondingsubsequent automated telephone call with the given entity to request afurther status update regarding the item of interest. The system canrequest the further status update regarding the item of interest in asimilar manner described above with respect to block 258. Further, thesystem can return to block 264 to determine a further temporal delaybased on information received during the corresponding subsequentautomated telephone call. The system can continue determining temporaldelays for corresponding further automated telephone calls until one ormore conditions are satisfied. The one or more conditions can include,for example, a drop in the surge of the submitted queries for the itemof interest, a threshold duration of time (e.g., one week, two weeks,one month, etc.), and/or other conditions are satisfied.

However, if at an iteration of block 262, the system determines that theentity is no longer associated with the item of interest, then thesystem may refrain from determining the temporal delay and proceed toblock 270 to remove the given entity from the group of the entitiesassociated with the item of interest. As a result, the system will notinitiate a subsequent automated telephone call with the given entity torequest any further status update regarding the item of interest.However, the system may still subsequently call the given entity torequest status updates regarding other items of interest.

Although the temporal delay described in FIG. 2 is described withrespect to a single entity, it should be understood that this is for thesake of example and is not meant to be limiting. As noted above, theautomated assistant can simultaneously initiate performance of aplurality of automated telephone calls with the entities of the group.During each of the automated telephone calls, a temporal delay can beassigned to a corresponding one of the entities, and the temporal delayfor each of the entities may differ based on the received informationregarding the item of interest from the representative associated withthe corresponding one of the entities.

FIG. 3 depicts a flowchart illustrating example method 300 ofdetermining whether to initiate an additional automated telephone callwith an additional entity based on information received during anautomated telephone call with a given entity. For convenience, theoperations of method 300 are described with reference to a system thatperforms the operations. This system of method 300 includes one or moreprocessors and/or other component(s) of a computing device, such asclient device 110 of FIG. 1 , computing device 410A, 410B of FIGS.4A-4D, computing device 510 of FIGS. 5A-5D, computing device 610 ofFIGS. 6A-6C, computing device 710 of FIG. 7 , one or more remoteservers, and/or other computing devices. Moreover, while operations ofmethod 300 are shown in a particular order, this is not meant to belimiting. One or more operations may be reordered, omitted, or added.

At block 352, the system receives, from a computing device of a user, arequest to initiate performance of an automated telephone call on behalfof the user. The request can be based on user input received at thecomputing device of the user. In some implementations, the user inputcan be touch or typed input from a search interface or an automatedassistant interface displayed on the computing device of the user. Forexample, the user input can touch input directed to a selectable elementof a search interface that, when selected, causes the system to initiateautomated telephone calls to perform the request. In otherimplementations, the user input can be spoken input detected viamicrophone(s) of the computing device of the user. The spoken input canbe processed, using speech recognition model(s) and/or NLU model(s), todetermine the user input includes the request (e.g., as described abovewith respect to FIG. 1 ).

At block 354, the system identifies, based on the request, an action tobe performed during the automated telephone call. The action can beidentified based on one or more terms included in the user input. Theaction can include, for example, requesting a status update regarding anitem of interest from a given entity or multiple entities, reserving anitem of interest at a location associated with a given entity, acquiringan item of interest at a location with a given entity, requestingavailability of a service from a given entity or multiple entities,and/or other actions that can be performed using the automated telephonecalls described herein. For example, the action can include an action toacquire toilet paper at a particular entity, or to generally acquiretoilet paper without specifying any particular entity. As anotherexample, the action can include an action to find the cheapestelectrician that is available during a given time period. Identifyingthe action to be performed is described in greater detail above (e.g.,with respect to the request handling engine 152 of FIG. 1 )

At block 356, the system identifies, based on the action to be performedduring the automated call, a group of entities that are each capable ofsatisfying the request. The entities of the group may be stored inassociation with the item or service, that is included in the request,in one or more databases (e.g., the entity identification engine 153 andthe entities database 153A of FIG. 1 ). The system can retrieve theentities from one or more of the databases. Moreover, the entities inthe group may be restricted to entities located within a thresholddistance of a current location of the computing device of the user. Forexample, assume the action included in the request is a request for astatus update regarding an item, the system may include only entitieswithin a five mile radius that are associated with the item in the groupof the entities.

At block 358, the system initiates performance of the automatedtelephone call with a given entity, of the entities, of the group. Thesystem can initiate the automated telephone call by placing theautomated telephone call and rendering one or more correspondinginstances of synthesized speech that request the corresponding statusupdate regarding the item of interest. In some implementations, thesystem can initiate performance of the automated telephone call using anautomated assistant that operates locally on the computing device of theuser that provided the request. In other implementations, the system caninitiate performance of the automated telephone call using an automatedassistant that operates remotely at server(s) (e.g., a cloud-basedautomated assistant). In yet other implementations, the system caninitiate performance of the automated telephone call using an automatedassistant that operates in part on the computing device of the user andin part on server(s) (e.g., the automated assistant 115 as depicted inFIG. 1 ).

At block 360, during performance of the automated telephone call withthe given entity, the system engages in a conversation with arepresentative of the given entity to perform the action. During theconversation, the system can perform the action, and receive, from therepresentative, information regarding the action (e.g., informationregarding availability of an item or service and/or other informationdescribed herein). The system can perform the action by rendering one ormore of the corresponding instances of synthesized speech during each ofthe automated telephone calls. For example, the system can causesynthesized speech (e.g., “hello, do you sell toilet paper?”, “Do youhave any toilet paper available?”, “How much toilet paper do you haveavailable?”) to be rendered at an additional computing device of therepresentative associated with the given entity. Further, the system canprocess audio data corresponding to the information received during thecorresponding automated telephone call using speech recognition model(s)(e.g., as described in greater detail with respect to the speechrecognition model(s) of FIG. 1 ). The information received from therepresentative may be responsive to the rendering of the synthesizedspeech. As described in greater detail above with respect to FIG. 1 ,the system can intelligently respond to the representative during theconversation.

At block 362, the system determines whether to initiate performance ofan additional automate call with an additional entity, of the entities,of the group. The system can determine to initiate performance of theadditional automated call with the additional entity based on a callinitiation time associated with the additional entity. The callinitiation time can be specific to the additional entity. In someimplementations, the call initiation time can be determined based onhistorical call data stored in association with the entity and/or theadditional entity (e.g., the historical call data database 154A of FIG.1 ). For example, the call initiation time for the additional entity canbe determined based on whether the entity and/or additional entity isassociated with an IVR system, an average duration of prior automatedtelephone calls with the entity and/or the additional entity, an averagehold time associated with the entity and/or the additional entity,and/or any other call data that can be gleaned from the previousautomated telephone calls with the entity and/or the additional entity.For example, if the determined call initiation time is 30 seconds afterinitiation of the automated telephone call with the given entity, it maybe based on determining that both the given entity and the additionalentity are associated with hold times of 30 seconds. In these examples,the automated telephone calls are staggered, such that the automatedassistant can engage with a representative associated with each of theentities 30 seconds apart, rather than both representatives at the sametime. In some additional and/or alternative implementations, the callinitiation time can be determined based on a result of the automatedtelephone call with the entity. Continuing with the above example, ifthe system is only on hold for 20 seconds, rather than the expected 30seconds, the call initiation time can change from 30 seconds to 20seconds, such that a similar staggering of the automated telephone callsis achieved. If, at an iteration of block 362, the system determines notto initiate performance of the additional automated call, then thesystem proceeds to block 366. Notably, this indicates that the requestcan be handled by the given entity, and that the given entity indicatesit can handle the request prior to the call initiation time. Forinstance, this indicates the given entity quickly indicated that it cansatisfy the request. However, if at an iteration of block 362, thesystem determines to initiate performance of an additional automatedcall with the additional entity, then the system may proceed to block364. As described above with respect to block 358, the system caninitiate the additional automated telephone call using an automatedassistant local to the computing device of the user, remote atserver(s), and/or a combination thereof.

At block 364, the system determines whether to proactively terminate theautomated telephone call with the given entity and/or the additionalautomated telephone call with the additional entity. The system candetermine whether to proactively terminate the automated telephone calland/or the additional automated telephone call based on the informationreceived during each of the automated telephone calls. For example, ifeither the entity or the additional entity indicates that the item orservice is not available, then the corresponding automated telephonecall may be proactively terminated. In implementations where the givenentity indicates that it can satisfy the request and an additionalrepresentative associated with the additional entity is already engagedin a conversation with the automated assistant, then the system may notproactively terminate the additional automated telephone call. In someversions of those implementations, the system can still perform theaction, and search result(s) associated with the additional entity canbe updated based on performance of the action. In this manner,computational resources of an additional computing device of therepresentative associated with the additional entity are not wasted byterminating the additional automated telephone call without learning anyinformation related to the original request. If, at an iteration ofblock 364, the system does not determine to proactively terminate theautomated call with the given entity and/or the additional automatedcall with the additional entity, then the system can monitor at block364 for one or more signals to proactively terminate the automated callwith the given entity and/or the additional automated call with theadditional entity. However, if at an iteration at block 364, the systemdetermines to proactively terminate the automated call with the givenentity and/or the additional automated call with the additional entity,then the system proceeds to block 366.

At block 366, the system generates notification(s) based on theresult(s) of the conversation(s) during the automated call with thegiven entity and/or the additional automated call with the additionalentity. The notification(s) can be generated for each of the automatedtelephone calls initiated by the system. Further, the notification(s)can include, for example, an indication of availability regarding anitem or service, whether the system reserved the item or service onbehalf of the user, whether the system acquired the item on behalf ofthe user, and/or other results of the conversation. In someimplementations, the notification(s) may include prompt(s) for the user.The prompt(s) can include, for example, a prompt for the user join theautomated telephone call, a prompt for the user to authorize that thesystem can provide name information, address information, contactinformation, pecuniary information, and/or other user data of the userof the computing device. At block 368, the system causes thenotification(s) to be rendered visually and/or audibly via the computingdevice of the user. The notification(s) can be rendered visually via adisplay of the computing device or another computing device associatedwith the user and/or audibly via speaker(s) of the computing device orthe another computing device associated with the user. Generating andrendering the notification(s) is described in greater detail herein(e.g., with respect to FIGS. 1, 5B-5D, 6B, and 6C).

Although the method 300 is described herein as with respect to the givenentity and the additional entities, it should be understood that is forthe sake of example and is not meant to be limiting. It should beunderstood that call initiation times for each of the other entities ofthe group can be determined, and each of the other entities of the groupcan be called until the request is satisfied. If the request cannot besatisfied by any of the entities of the group, then an additional groupof entities can be identified as described above (e.g., with respect tothe entity identification engine 153 of FIG. 1 ).

Referring now to FIGS. 4A-4C, non-limiting examples of determiningtemporal delays for subsequent automated telephone calls with variousentities are depicted. Notably, transcripts of the automated telephonecalls of FIGS. 4A-4C are depicted on a graphical user interface 480A ofa computing device 410A. It should be understood that is for the sake ofexample to illustrate the techniques described herein and is not meantto be limiting. For instance, the automated telephone calls describedherein can be initiated and performed by an automated assistant for thesake of brevity (e.g., using the automated request system 180 of FIG. 1). The automated assistant can be a cloud-based automated assistantexecuting remotely at server(s) and/or other computing device(s).

In some implementations, and as described in more detail above (e.g.,with respect to the query analysis engine 151 and the request handlingengine 152 of FIG. 1 ), the automated assistant can identify a requestfor a status update regarding an item of interest or service based onanalyzing query activity of a plurality of users (e.g., stored in thequery activity database 151A of FIG. 1 ). The automated telephone callscan be initiated and performed by the automated assistant in response toidentifying the request for the status update regarding the item ofinterest or service. The automated assistant can identify the requestbased on, for example, determining whether a threshold number of queriesfor a given item or service have been submitted by the plurality ofusers. In some versions of those implementations, the one or moreconditions can include determining whether the threshold number ofqueries for a given item or service have been submitted by the pluralityof users within a given time frame as described above with respect toFIG. 1 . In some versions of those implementations, the query activitymay be restricted to queries submitted by users in a particulargeographic region.

In some implementations, the automated assistant can further identify agroup of entities that are associated with the identified request asdescribed in greater detail herein (e.g., with respect to the entityidentification engine 153 of FIG. 1 ). The group of entities can bestored in association with the item or service included in the request(e.g., in the entities database 153A), along with other data related toeach of the entities (e.g., physical location(s), webpage(s), and/orother data). A corresponding one of the automated telephone calls can beinitiated and performed, by the automated assistant, with a given one ofthe entities of the group, such that the automated assistant caninitiate and perform the corresponding automated telephone call witheach individual one of entities of the group. In implementations wherethe submitted queries originate from the particular geographic region,the entities included in the group can also be restricted to entitiesthat are located within the particular geographic region. The automatedassistant can begin initiating and performing the automated telephonecalls in response to identifying the item or service based on analyzingthe query activity and in response to identifying the group of theentities associated with the item or service included in the request.Further, the automated assistant can perform a corresponding one of theautomated telephone calls by rendering instances of synthesized speechat a computing device of a corresponding representative associated witha corresponding one of the entities. Moreover, the automated assistantcan process audio data corresponding to information received from thecorresponding representative during the corresponding automatedtelephone call. In this manner, the automated assistant can engage in aconversation with the representative, and subsequent synthesized speechcan be based on the information received from the correspondingrepresentative.

For example, with respect to FIGS. 4A-4C, assume the automated assistantidentifies 15,000 submitted queries across a six hour period of timethat include the terms “toilet paper”, and that originate from ageographic region of Jefferson County, Ky. In this example, theautomated assistant may determine that the 15,000 submitted queriesacross the six hour period satisfies one or more conditions to initiatea plurality of corresponding automated telephone calls with a group ofentities located in Jefferson County, Ky. to request a correspondingstatus update regarding availability of toilet paper. Accordingly, theautomated assistant can access one or more databases (e.g., the entitiesdatabase 153A of FIG. 1 ) to identify a plurality of entities located inJefferson County, Ky. that are stored in association with a toilet paperitem, and can include the identified entities in the group of entities.As shown in FIGS. 4A-4C, the group of the entities includes at leastExample Store 1, Example Store 2, and Example Store 3.

More particularly, the automated assistant can initiate a firstautomated telephone call with Example Store 1 to request the statusupdate regarding toilet paper at Example Store 1 as shown in FIG. 4A, afirst automated telephone call with Example Store 2 to request thestatus update regarding toilet paper at Example Store 2 as shown in FIG.4B, and a first automated telephone call with Example Store 3 to requestthe status update regarding toilet paper at Example Store 3 as shown inFIG. 4C. Notably, each of the first automated telephone calls with eachof the entities in FIGS. 4A-4C can be initiated and performed inparallel (e.g., as indicated by being initiated on Jun. 11, 2020 at 9:00AM). Further, each of the first automated telephone calls can beinitiated and performed using a corresponding instance of the automatedassistant.

As noted above, the automated assistant can perform each of thecorresponding automated telephone calls by causing instances ofsynthesized speech to be rendered at the computing device of therepresentative associated with a given one of the entities. Inparticular, the synthesized speech can include the request for thestatus update regarding the toilet paper, and optionally otherinformation. For example, as shown in FIG. 4A, the automated assistantcan cause synthesized speech 452A1 that includes the request for thestatus update regarding the toilet paper at Example Store 1 (e.g., “I'mcalling to see whether you have any toilet paper available”) and alsothat includes a request for an available quantity of toilet paper atExample Store 1 (e.g., “whether you anticipate running out today”) to berendered at a computing device of Example Store 1 Representative.Further, the automated assistant can process audio data corresponding toinformation 454A1 that is received responsive to the synthesized speech(e.g., “We have some available, but will likely run out this afternoon”)to determine whether toilet paper is available at Example Store 1 and anindication of the available quantity. As another example, as shown inFIG. 4B, the automated assistant can cause synthesized speech 452B1 thatincludes the request for the status update regarding the toilet paper atExample Store 2 (e.g., “I'm calling to see whether you have any toiletpaper available”) to be rendered at a computing device of Example Store2 Representative, but withhold a request for an available quantity oftoilet paper at Example Store 2 until the Example Store 2 Representativeconfirms that Example Store 2 has toilet paper available based onprocessing audio data corresponding to received information 454B1 (e.g.,“Yes”) from the Example Store 2 Representative. In response to verifyingthat Example Store 2 has toilet paper available, the automated assistantmay then request the status update for the available quantity of toiletpaper at Example Store 2 in further synthesized speech 452B2 (e.g.,“Will you run out today”), and can determine an indication of theavailable quantity of toilet paper at Example Store 2 based onprocessing further received information 454B2 (e.g., “No” indicatingthat Example Store 2 will not run out of toilet paper today). Further,the automated assistant can process audio data corresponding toinformation 454A1 that is received responsive to the synthesized speech(e.g., “We have some available, but will likely run out thisafternoon”). As yet another example, as shown in FIG. 4C, the automatedassistant can cause synthesized speech 452C1 that includes the requestfor the status update regarding the toilet paper at Example Store 3(e.g., “I'm calling to see whether you have any toilet paper available”)and also that includes a request for an available quantity of toiletpaper at Example Store 3 (e.g., “whether you anticipate running outtoday”) to be rendered at a computing device of Example Store 3Representative. Further, the automated assistant can process audio datacorresponding to information 454C1 that is received responsive to thesynthesized speech (e.g., “We do not sell toilet paper”) to determinethat Example Store 3 should not be stored in associated with toiletpaper. In this example, Example Store 3 can be removed from the group ofentities based on the received information 454C1.

For each of the corresponding automated telephone calls in FIGS. 4A-4C,the automated assistant can assign a period of time to each of theentities of the group as a temporal delay. When the temporal delaylapses, for a corresponding one of the entities of the group, theautomated assistant can initiate and perform a subsequent correspondingautomated telephone call with the corresponding entity to request acorresponding further status update regarding the item. The period oftime assigned as the temporal delay can be determined based on theinformation received from the representative associated with the givenentity (e.g., as described in greater detail above with respect to thetemporal delay engine 157). In some implementations, the automatedassistant can provide an indication of the time period assigned to thetemporal delay for the corresponding entity during each of the firstautomated telephone calls.

For example, as shown in FIG. 4A, the automated assistant can causefurther synthesized speech 452A2 to be rendered at the computing deviceof Example Store 1 Representative that is indicative of the time periodassigned as the temporal delay for Example Store 1 (e.g., “I'll callback this afternoon for another update”). In this example, the timeperiod may only be several hours (e.g., five hours as shown in FIG. 4A)since the information 454A1 indicated that Example Store 1 will “likelyrun out [of toilet paper] this afternoon”. Accordingly, when thetemporal delay lapses (e.g., five hours after the first automatedtelephone call with Example Store 1 (e.g., at 2:00 PM the same day)),the automated assistant can initiate and perform a second automatedtelephone call to request the corresponding further status updateregarding toilet paper by causing yet further synthesized speech 452A3to be rendered at the computing device of the Example Store 1Representative, processing audio data corresponding to furtherinformation 454A2 received from Example Store 1 Representative responseto the yet further synthesized speech 452A3, and causing even furthersynthesized speech 452A4 to be rendered at the computing device of theExample Store 1 Representative that includes an indication of a furthertemporal delay determined based on the further information 452A2received during the second automated telephone call with the ExampleStore 1 Representative. For instance, if Example Store 1 Representativeindicates in the further information 452A2 that Example Store 1 will nothave toilet paper until a shipment arrives in three days, then the timeperiod assigned as the further temporal delay can be 72 hours to avoidcalling Example Store 1 over the next three days since they alreadyindicated they will not have toilet paper until the next shipmentarrives.

As another example, as shown in FIG. 4B, the automated assistant cancause yet further synthesized speech 452B3 to be rendered at thecomputing device of Example Store 2 Representative that is indicative ofthe time period assigned as the temporal delay for Example Store 2(e.g., “I'll call back tomorrow”). In this example, the time period maybe a 24 hour period since the information 454B2 indicated that ExampleStore 2 will not run out of toilet paper that day. Accordingly, when thetemporal delay lapses (e.g., 24 hours after the first automatedtelephone call with Example Store 2 (e.g., at 9:00 AM the followingday)), the automated assistant can initiate and perform a secondautomated telephone call to request the corresponding further statusupdate regarding toilet paper by causing even further synthesized speech452B4 to be rendered at the computing device of the Example Store 2Representative, processing audio data corresponding to yet furtherinformation 454B3 received from Example Store 2 Representative responseto the even further synthesized speech 452B4, and causing yet evenfurther synthesized speech 452A5 to be rendered at the computing deviceof the Example Store 2 Representative that includes an indication of afurther temporal delay determined based on the yet further information452B3 received during the second automated telephone call with theExample Store 2 Representative. Thus, as illustrated by the temporaldelays in FIGS. 4A and 4B, the automated assistant can determine dynamictime periods to assign to the temporal delays based on informationreceived during the automated telephone calls.

Notably, as shown in FIG. 4C, the automated assistant can cause furthersynthesized speech 452C2 to be rendered at the computing device ofExample Store 3 Representative that indicates the automated assistantwill refrain from inquiring about toilet paper in the future fromExample Store 3. In this example, the automated assistant may alsorefrain from determining a time period to assign as a temporal delay toExample Store 3 since it has been removed from the group of entitiesassociated with the item based on the received information 454C1 asdescribed above. Accordingly, no second automated telephone call withExample Store 3 is initiated or performed.

In various implementations, search result(s) associated with theentities of the group can be updated to include the information receivedduring the corresponding automated telephone calls. In some versions ofthose implementations, the search result(s) can also be updated toinclude a temporal indicator of when the status update was requested.For example, FIG. 4D illustrates, on a graphical user interface 480B ofa computing device 410B of a user, updated search results associatedwith each of the various entities based on results of automatedtelephone calls from FIGS. 4A-4C. The graphical user interface 480B ofFIG. 4D further includes a textual reply interface element 484 that theuser may select to generate user input via a virtual keyboard or othertouch and/or typed input, and a voice reply interface element 485 thatthe user may select to generate user input via microphone(s) of theclient device 410. In some implementations, the user may generate userinput via the microphone(s) without selection of the voice replyinterface element 485. For example, active monitoring for audible userinput via the microphone(s) may occur to obviate the need for the userto select the voice reply interface element 485. In some of those and/orin other implementations, the voice reply interface element 485 may beomitted. Moreover, in some implementations, the textual reply interfaceelement 484 may additionally and/or alternatively be omitted (e.g., theuser may only provide audible user input). The graphical user interface480 of FIGS. 4A-4D also includes system interface elements 481, 482, 483that may be interacted with by the user to cause the computing device410 to perform one or more actions.

With respect to FIG. 4D, assume the user of the computing device 410B isalso located in Jefferson County, Ky., and further assume the user ofthe computing device 410 has submitted a search query (e.g., spoken ortyped via an automated assistant interface or search interface) thatincludes the terms “toilet paper” (e.g., as indicated by URL 411) afterthe first automated telephone calls in FIGS. 4A-4C, but prior to thesecond automated telephone calls. Further assume that a first searchresult 420 associated with Example Store 1, a second search result 430associated with Example Store 2, and a third search result 440associated with Example Store 3 are each responsive to the search query.In this example, the first search result 420 can be updated to includeinformation 421 from the first automated telephone call with ExampleStore 1 that indicates toilet paper was “available” at Example Store 1at “9:00 today”, but that Example Store 1 may run out of toilet paper“this afternoon”. Further, the second search result 430 can be updatedto include information 431 from the first automated telephone call withExample Store 2 that indicates toilet paper was “available” at ExampleStore 1 “this morning”, and that Example Store 2 should “not run outtoday”. Moreover, the third search result 440 can be updated to includeinformation 441 from the first automated telephone call with ExampleStore 3 that indicates Example Store 3 “does not sell toilet paper”. Theinformation 421, 431 of the search results 420, 430 can be updated in asimilar manner after the second automated telephone calls, and any othersubsequent automated telephone call thereafter. In this manner, searchresult(s) associated with each of the entities of the group can beupdated to reflect availability of various items that are associatedwith each of the corresponding entities as the automated telephone callsare performed by the automated assistant.

Although FIGS. 4A-4D are described herein with requesting a statusupdate regarding a single item of interest, it should be understood thatis for the sake of example and is not meant to be limiting. For example,if the automated assistant identifies a plurality of items of interestto request status updates for, and a given one of the entities in thegroup is associated with multiple of the items, then the automatedassistant can request a status update regarding each of the multipleitems in the first automated telephone call to avoid having to initiateand perform multiple automated telephone calls with the given entity torequest the status update regarding each of the multiple items.Moreover, it should be noted that when the automated assistant requestsstatus updates regarding multiple items, then a different time periodcan be assigned to a temporal delay for each of the multiple items. Forexample, if the automated assistant initially requests a status updateregarding both toilet paper and hand sanitizer and the representativeassociated with the given entity provides information that indicatesthere is ample toilet for the rest of the day but no hand sanitizer forthe next four days, then the automated assistant can assign a 24 hourtime period to initiate and perform a subsequent automated telephonecall to request a further status update regarding the toilet paper and a96 hour time period to initiate and perform a subsequent automatedtelephone call to request a further status update regarding the handsanitizer.

Moreover, although FIGS. 4A-4D are described herein with respect torequesting a status update regarding an item of interest, it should beunderstood that is for the sake of example and is not meant to belimiting. As one non-limiting example, the automated assistant can alsorequest status updates regarding availability of services. For instance,if the automated assistant determines there is a surge in submittedqueries for auto-body repair and/or roof repair (e.g., after a hailstorm), then automated telephone calls can be initiated and performed ina similar manner and search result(s) associated with entities thatprovide these services can be updated in similar manner.

Referring now to FIGS. 5A-5D, various non-limiting examples ofinitiating, on behalf of a user, automated telephone calls with variousentities and causing notifications associated with each of the variousentities to be rendered based on results of the automated telephonecalls are depicted. FIGS. 5A-5D each depict a computing device 510having a graphical user interface 580 related to a user request toinitiate and/or perform automated telephone calls on behalf of the userof the computing device 510. One or more aspects of an automatedassistant associated with the user of the computing device 510 (e.g.,automated assistant 115 of FIG. 1 ) may be implemented locally on thecomputing device 510 and/or on other computing device(s) that are innetwork communication with the computing device 510 in a distributedmanner (e.g., via network(s) 190 of FIG. 1 ). For the sake ofsimplicity, operations of FIGS. 5A-5D are described herein as beingperformed by the automated assistant (e.g., using the automated requestsystem 180 of FIG. 1 ). Although the computing device 510 of FIGS. 5A-5Dis depicted as a mobile phone, it should be understood that is not meantto be limiting. The computing device 510 can be, for example, a server,a stand-alone speaker, a speaker connected to a graphical userinterface, a laptop, a desktop computer, and/or any other client devicecapable of making telephonic calls and operating instances of theautomated assistant.

The graphical user interface 580 of FIGS. 5A-5D further includes atextual reply interface element 584 that the user may select to generateuser input via a virtual keyboard or other touch and/or typed input, anda voice reply interface element 585 that the user may select to generateuser input via microphone(s) of the computing device 510. In someimplementations, the user may generate user input via the microphone(s)without selection of the voice reply interface element 585. For example,active monitoring for audible user input via the microphone(s) may occurto obviate the need for the user to select the voice reply interfaceelement 585. In some of those and/or in other implementations, the voicereply interface element 585 may be omitted. Moreover, in someimplementations, the textual reply interface element 584 mayadditionally and/or alternatively be omitted (e.g., the user may onlyprovide audible user input). The graphical user interface 580 of FIGS.5A-5D also includes system interface elements 581, 582, 583 that may beinteracted with by the user to cause the computing device 510 to performone or more actions.

In various implementations, the automated telephone call(s) can beinitiated and performed responsive to receiving user input that requeststhe automated assistant initiate and perform the automated telephonecall(s). The user input can be spoken input, touch input, and/or typedinput that includes an indication to initiate and perform the automatedtelephone call(s). Further, the automated assistant can performaction(s), on behalf of a given user of the computing device 510, thatis included in the request during the automated telephone call(s). Asshown in FIG. 5A, the graphical user interface 580 includes a firstsearch result 520 associated with a Hypothetical Toy Store 1 entity anda second search result 530 associated with a Hypothetical Toy Store 2entity that are displayed responsive to a query of “Hot Christmas Toy2020” (e.g., as indicated in the textual reply interface element 584).Further, the search results 520, 530 are displayed in a browserapplication accessible at the computing device (e.g., as indicated byURL 511 of “www.exampleurl0.com/”). Further, the search results 520, 530can also include, for example, corresponding information 521, 531related to one or more items of interest (e.g., Hot Christmas Toy). Forexample, first information 521 associated with the first search result520 indicates that Hypothetical Toy Store 1 was out of stock of the HotChristmas Toy six days ago, and second information 531 associated withthe second search result 530 indicates that the status of Hot ChristmasToy is unknown for Hypothetical Toy Store 2 and that the status hasnever been updated.

In some implementations, the search results 520, 530 can be associatedwith various selectable graphical elements that, when selected, causethe computing device 510 to perform corresponding actions. For example,when a call graphical element 522, 532 associated with a given one ofthe search results 520, 530 is selected, the user input can indicatethat a telephonic call should be initiated and performed. As anotherexample, when a directions graphical element 523, 533 associated with agiven one of the search results 520,530 is selected, the user input canindicate that a navigation action should be initiated and performed. Inother implementations, and although not depicted, when a generalautomated telephone call graphical element is selected, the user inputcan explicitly indicate that automated telephonic call(s) should beinitiated and performed.

In some implementations, and as shown in FIG. 5A, a call detailsinterface 570 can be rendered at the computing device 510 responsive toreceiving the user input to initiate and perform the telephonic callaction with either entity (e.g., in response to receiving a selectionone of the call interface elements 522, 532 or the general automatedtelephone call graphical element). In some versions of thoseimplementations, the call details interface 570 can be rendered at thecomputing device 510 as part of the graphical user interface 580. Insome other versions of those implementations, the call details interface570 can be a separate interface from the graphical user interface 580that overlays the user interface, and can include an interface element586 that allows the user to expand the call details interface 570 todisplay additional call details (e.g., by swiping up on the interfaceelement 586) and/or dismiss the call details interface 570 (e.g., byswiping down on the interface element 586). In other implementations,the call details interface 570 can be accessed and dismissed at any timeusing the interface element 586. Although the call details interface 570is depicted as being at the bottom of the graphical user interface 580,it should be understood that is for the sake of example and not meant tobe limiting. For example, the call details interface 570 can be renderedat a top of the graphical user interface 580, a side of the graphicaluser interface 580, or an entirely separate interface from the graphicaluser interface 580.

The call details interface 570 can include, in various implementations,a plurality of segments of selectable text (or graphical elements). Insome implementations, the segments can be selectable, such that, when agiven one of the segments is selected, the computing device 510 canperform the corresponding action. As shown in FIG. 5A, the call detailsinterface 570 includes a first segment of selectable text 571 of“Automated Telephone Call”, and a second segment of selectable text 572of “Regular Call”. Further, the first segment of selectable text 571can, when selected, provide the automated assistant an indication of adesire to initiate automated telephone call(s) using the automatedassistant, and the second segment of selectable text 572 can, whenselected, cause the automated assistant to initiate a normal telephonecall. Notably, in some versions of those implementations, the segmentsof selectable text can include other associated segments of selectabletext. For example, the first segment of selectable text 571 of“Automated Telephone Call” can include a first other segment ofselectable text 571A of “Status Update on Toy” associated with an actionof requesting a status update during the automated telephone call(s), asecond other segment of selectable text 571B of “Reserve Toy” associatedwith an action of placing the toy on hold, for the user of the computingdevice 510, during the automated telephone call(s), and a third othersegment of selectable text 571C of “Purchase Toy” associated with anaction of acquiring the toy, for the user of the computing device 510,during the automated telephone call(s). Although the automated telephonecalls described herein with respect to FIGS. 5A-5D are initiated from abrowser-based application, it should be understood that is for the sakeof example, and not meant to be limiting. For example, the automatedtelephone call(s) can be initiated from various software applicationsaccessible at the computing device 510 (e.g., an automated assistantapplication, a contacts application, an email application, a text or SMSmessaging application, and/or other software application), and, if theautomated telephone call(s) is initiated using spoken input, from a homescreen of the computing device 510, from a locked screen of thecomputing device 510, and/or other states of the computing device 510.

For example, assume user input is detected at the computing device 510to initiate and perform an automated telephone call with the firstsearch result 520 of “Hypothetical Toy Store 1”. The user input can be,for example, spoken input of “find Hot Christmas Toy 2020” or touchinput directed to the call interface element 522 (and/or one of thesegments of selectable text 571, 571A-571C). In various implementations,the automated assistant can identify a group of entities that are eachstored in association with the “Hot Christmas Toy” in one or moredatabases (e.g., the entities database of 153A of FIG. 1 ) based on theuser input being indicative of the “Hot Christmas Toy”. In someimplementations, the automated assistant can restrict the entitiesincluded in the group to those that are stored in association with theHot Christmas Toy, and that are within a threshold distance of alocation of the computing device 510 (e.g., determined based on GPS datagenerated by GPS sensor(s) of the computing device 510). For example,the automated assistant can initially include all entities that arestored in association with the Hot Christmas Toy, and that are withinfour miles of the location of the computing device 510, in the group ofentities. If none, then the automated assistant can increase thethreshold distance to include all entities that are within eight milesof the location of the computing device 510, and so on. In someadditional and/or alternative implementations, the automated assistantmay continue identifying entities to include in the group until athreshold number of entities are identified for inclusion in the group.For instance, the automated assistance can keep increasing the thresholddistance to identify entities to include in the group until fiveentities are included in the group. If there are more than the thresholdnumber of entities included in the group, then the entities that satisfyone or more criteria may be included in the group (e.g., as described ingreater detail above with respect to the entity identification engine153). Notably, even though the user input may be directed to initiatingan automated telephone call with a specific entity, or not specify anentity, the group of entities associated with the Hot Christmas Toy maystill be identified.

The automated assistant can initiate and perform automated telephonecall(s) with one or more of the entities of the group until the requestis satisfied. In some implementations, the automated assistant caninitiate a first automated telephone call with a first entity of thegroup in response to receiving the user input, and determine a callinitiation time to initiate performance of additional automatedtelephone calls with corresponding additional entities of the group. Insome versions of those implementations, the call initiation time foreach of the additional automated telephone calls can be a staticthreshold duration of time (e.g., 15 seconds, 30 seconds, 45 seconds,and/or other durations of time). For example, the automated assistantcan initiate a first automated telephone call with a first entity of thegroup, initiate a second automated telephone call with a second entityof the group 30 seconds after initiating the first automated telephonecall with the first entity, initiate a third automated telephone callwith a third entity of the group 30 seconds after initiating the secondautomated telephone call with the second entity, and so on for each ofthe entities of the group. In other versions of those implementations,the automated assistant can determine each call initiation time based onhistorical call data (e.g., stored in historical call database 154A)associated with a corresponding one of the entities of the group. Thehistorical call data can include, for example, an indication that thecorresponding entity is associated with an IVR system and a duration oftime to navigate the IVR system, an indication of a duration of time ofprevious automated telephone calls with the corresponding entity, anindication of a duration of an initial hold time during previousautomated telephone calls with the corresponding entity, and/or othercall data derived from previous automated telephone calls with eachcorresponding entity of the group. Determining the call initiation timeassociated with each of the entities of the group is described ingreater detail herein (e.g., with respect to the request performanceengine 154 of FIG. 1 ). Moreover, the automated assistant can causecorresponding notification(s) that include result(s) of the automatedtelephone call(s), prompts for the user of the computing device 510,and/or other information related to the automated telephone call(s) tobe rendered at the computing device 510 (e.g., audibly via speaker(s) ofthe computing device 510 and/or visually via the graphical userinterface 580 of the computing device 510).

For example, referring specifically to FIG. 5B, assume user input isdetected at the computing device 510 to initiate automated telephonecall(s) to request status update(s) regarding Hot Christmas Toy (e.g.,touch input directed to the first other selectable segment of text 571Aof FIG. 5A or spoken input of “find Hot Christmas Toy”). Further assumethe automated assistant identifies at least Hypothetical Toy Store 1 andHypothetical Toy Store 2 as the entities in the group associated withHot Christmas Toy. The automated assistant can initiate an automatedtelephone call with Hypothetical Toy Store 1, and request the statusupdate regarding Hot Christmas Toy as the action to be performed basedon the user input. For instance, the automated assistant can causesynthesized speech 552B1 to be rendered at a computing device associatedwith Hypothetical Toy Store 1 Representative (e.g., “I'm calling to seewhether Hot Christmas Toy is available at your store”), and can processaudio data corresponding to information 554B1 received responsive to thesynthesized speech 552B1 (e.g., “please hold while I go check”).

Further, the automated assistant can process audio data corresponding tofurther information 554A2 when Hypothetical Toy Store 1 Representativereturns to the automated telephone call (e.g., “we are out of stock),and can cause further synthesized speech 552B2 to be rendered at thecomputing device associated with Hypothetical Toy Store 1 Representative(e.g., “thank you for checking”). Based on the result of theconversation, the automated assistant can cause notification 579B to berendered visually at the graphical user interface (e.g., vianotifications interface 590 that can supplant the call details interface570, and that can be expanded or dismissed using the interface element586 similar to the call details interface 570). Moreover, the automatedassistant can cause the first search result 520 depicted in FIG. 5A tobe updated to indicate that Hypothetical Toy Store 1 is out of stock ofHot Christmas Toy and optionally include a temporal indicator of whenthe further information 554B2 that indicated the Hot Christmas Toy wasout of stock (e.g., “12/1/2020 at 9:00:00 AM”, this morning, and so on).Updating the search results based on information received duringautomated telephone call(s) is described in greater detail above (e.g.,with respect to FIGS. 1 and 4D).

During the automated telephone call with Hypothetical Toy Store 1, theautomated assistant (or a separate instance thereof) can also initiatean additional automated telephone call with Hypothetical Toy Store 2based on a determined call initiation time associated with HypotheticalStore 2. In some implementations, the call initiation time associatedwith Hypothetical Toy Store 2 can be zero, such that the automatedassistant can perform the automated telephone call with Hypothetical ToyStore 1 and Hypothetical Toy Store 2 in parallel (e.g., in a similarmanner as described above with respect to initiating and performing thefirst automated telephone calls in FIGS. 4A-4C). In otherimplementations, the additional automated telephone calls may bestaggered such that the automated assistant (and/or separate instance(s)thereof) is generally only engaged with one entity at a given time. Insome versions of those implementations, the call initiation timeassociated with Hypothetical Toy Store 2 can be a set duration of timeassociated with each of the entities in the group, such that each of theadditional automated telephone calls are initiated 30 seconds after oneanother. In other versions of those implementations, the call initiationtime associated with Hypothetical Toy Store 2 can be based on historicalcall data associated with Hypothetical Toy Store 1 and Hypothetical ToyStore 2.

In some additional and/or alternative versions of those implementations,the call initiation time associated with Hypothetical Toy Store 2 can bedynamic and based on progress of the conversation between the automatedassistant and the Hypothetical Toy Store 1 Representative. For example,assume the call initiation time associated with Hypothetical Toy Store 2determined according to one or more of the above techniques is 30seconds. However, if the on hold period described above with respect toFIG. 5A exceeds the original 30 second call initiation time, then thecall initiation time associated with Hypothetical Toy Store 2 may beadjusted to a dynamic time when the conversation with the HypotheticalToy Store 1 Representative resumes (e.g., when the further information554B2 is received). In contrast, assume that the Hypothetical Toy Store1 Representative indicated in the further information 554B2 (orimmediately in the information 554B1) that Hot Christmas Toy wasavailable. In this example, the additional automated telephone call withHypothetical Toy Store 2 can be proactively terminated. However, if theadditional automated telephone call with Hypothetical Toy Store 2 hasalready been initiated and the automated assistant is engaged in anadditional conversation with Hypothetical Toy Store 2 Representative,then the automated assistant may continue the conversation, but changethe action to an action of requesting a status update regarding HotChristmas Toy, and update search result(s) associated with HypotheticalToy Store 2 accordingly. Determining the call initiation timesassociated with the entities of the group is described in greater detailherein (e.g., with respect to the request performance engine 154 of FIG.1 ).

For example, referring specifically to FIG. 5C, assume user input isdetected at the computing device 510 to initiate automated telephonecall(s) to acquire Hot Christmas Toy on behalf of the user of thecomputing device 510. The user input can be, for example, touch inputdirected to the second other selectable segment of text 571B of FIG. 5Aor spoken input of “find Hot Christmas Toy and buy it for me”. Furtherassume that the result of the automated telephone call with theHypothetical Toy Store 1 Representative indicates that Hypothetical ToyStore 1 is out of stock of Hot Christmas Toy based on the conversationdepicted in FIG. 5B. Also assume that the additional automated telephonecall with Hypothetical Toy Store 2 is initiated 30 seconds after theautomated telephone call with Hypothetical Toy Store 1. Similar to theconversation described above with respect to FIG. 5B, the automatedassistant can cause synthesized speech 552C1 to be rendered at acomputing device associated with Hypothetical Toy Store 2 Representative(e.g., “I'm calling to see whether Hot Christmas Toy is available atyour store”), and can process audio data corresponding to information554C1 received responsive to the synthesized speech (e.g., “yes, we havetwo more available”).

Further, the automated assistant can cause further synthesized speech552C2 to be rendered at the computing device associated withHypothetical Toy Store 2 Representative (e.g., “May I purchase it onbehalf of Jane Doe”, where Jane Doe is the user of the computing device510), and process audio data corresponding to further information 554C2when Hypothetical Toy Store 2 Representative that is responsive to thefurther synthesized speech 552C2. Based on the result of theconversation, the automated assistant can cause notification 579C to berendered visually at the graphical user interface (e.g., vianotifications interface 590 that can supplant the call details interface570, and that can be expanded or dismissed using the interface element586 similar to the call details interface 570).

Notably, the notification 579C can indicate that Hypothetical Toy Store2 has Hot Christmas Toy, and can also include a prompt requesting theuser of the computing device 510 (e.g., Jane Doe) authorize providingpecuniary information to the Hypothetical Toy Store 2 Representative toacquire the Hot Christmas Toy, on behalf of the user, at HypotheticalToy Store 2. Moreover, the notification interface 590 can also includeselectable graphical elements that are responsive to the prompt, such asa first selectable graphical element 579C1 to authorize providing of thepecuniary information, a second selectable graphical element 579C2, anda third selectable element 579C3 for the user to join the additionalautomated telephone call. In various implementations, the user of thecomputing device 510 may have previously authorized providing of thepecuniary information and the prompt may be omitted. If the userindicates that the automated assistant should provide the pecuniaryinformation (e.g., via a selection of the first selectable graphicalelement 579C1), then the user can receive a further notification thatindicates the Hot Christmas Toy was acquired, on behalf of the user ofthe computing device 510, at Hypothetical Store 2, provide directions toHypothetical Toy Store 2, create a reminder to pick up the Hot ChristmasToy at Hypothetical Toy Store 2, and/or perform other actions based onthe result(s) of the conversation during the additional automatedtelephone call with Hypothetical Toy Store 2. Moreover, once theautomated assistant has acquired the Hot Christmas Toy, it mayproactively terminate other ongoing automated telephone call(s) withother entities of the group.

For example, referring specifically to FIG. 5D, assume user input isdetected at the computing device 510 to initiate automated telephonecall(s) to place Hot Christmas Toy on hold on behalf of the user of thecomputing device 510 (e.g., in contrast with the request to acquire theHot Christmas Toy in FIG. 5C). The user input can be, for example, touchinput directed to the third other selectable segment of text 571C ofFIG. 5A or spoken input of “find Hot Christmas Toy and place it on holdfor me”). Further assume that the result of the automated telephone callwith the Hypothetical Toy Store 1 Representative indicates thatHypothetical Toy Store 1 is out of stock of Hot Christmas Toy based onthe conversation depicted in FIG. 5B. Also assume that the additionalautomated telephone call with Hypothetical Toy Store 2 is initiated 30seconds after the automated telephone call with Hypothetical ToyStore 1. Similar to the conversations described above with respect toFIGS. 5B and 5C, the automated assistant can cause synthesized speech552D1 to be rendered at a computing device associated with HypotheticalToy Store 2 Representative (e.g., “I'm calling to see whether HotChristmas Toy is available at your store”), and can process audio datacorresponding to information 554D1 received responsive to thesynthesized speech (e.g., “yes, we have two more available”).

Further, the automated assistant can cause further synthesized speech554D2 to be rendered at the computing device associated withHypothetical Toy Store 2 Representative (e.g., “May I reserve it onbehalf of Jane Doe”, where Jane Doe is the user of the computing device510), and process audio data corresponding to further information 554D2when Hypothetical Toy Store 2 Representative that is responsive to thefurther synthesized speech 552D2. Based on the result of theconversation, the automated assistant can cause notification 579D to berendered visually at the graphical user interface (e.g., vianotifications interface 590 that can supplant the call details interface570, and that can be expanded or dismissed using interface element 586similar to the call details interface 570). Notably, the notification579D can indicate that Hypothetical Toy Store 2 has Hot Christmas Toy,and that the automated assistant has reserved it, on behalf of the userof the computing device 510, at Hypothetical Toy Store 2. Although notdepicted in FIG. 5D, the automated assistant can further cause thecomputing device 510 to render navigation information to HypotheticalToy Store 2, pickup instructions for when the user of the computingdevice 510 arrives at Hypothetical Toy Store 2 to pick up the HotChristmas Toy, links to webpage(s) associated with Hypothetical ToyStore 2, an indication that a calendar entry or reminder has beencreated for picking up the Hot Christmas Toy at Hypothetical Toy Store2, and so on.

In various implementations, the automated assistant can cause the firstsearch result 520 depicted in FIG. 5A to be updated to indicate thatHypothetical Toy Store 1 is out of stock of Hot Christmas Toy, andoptionally include a temporal indicator of when the further information554B2 that indicated the Hot Christmas Toy was out of stock (e.g., “Dec.1, 2020 at 9:00:00 AM”, this morning, and so on). Further, the automatedassistant can cause the second search result 530 depicted in FIG. 5A tobe updated to indicate that Hypothetical Toy Store 2 has low stock ofHot Christmas Toy or that there is only one left, and optionally includea temporal indicator of when the information 554C1, 554D1 that indicatedthe Hot Christmas Toy was available (e.g., “Dec. 1, 2020 at 9:00:30 AM”,this morning, and so on). Updating the search results based oninformation received during automated telephone call(s) is described ingreater detail above (e.g., with respect to FIGS. 1 and 4D).

Moreover, other automated assistants associated with other users locatedin the same geographic region can leverage the information acquired bythe automated assistant during the automated telephone calls to performfurther actions. For example, if a neighbor of the user of the computingdevice 510 provides user input to a respective automated assistant toacquire the Hot Christmas Toy on behalf of the neighbor at 10:00 AM,then the neighbor's respective automated assistant can analyze theupdated search result(s) and remove Hypothetical Toy Store 1 from anyidentified group since the Hot Christmas Toy was not available atHypothetical Toy Store 1 at 9:00 AM, and may initiate an automatedtelephone call with Hypothetical Toy Store 2 to see if there is stillany available. By leveraging the information obtained by the automatedassistant of the computing device 510, the other automated assistantscan conserve computational resources of their respective computingdevices and computing devices associated with the entities.

Although FIGS. 5A-5D are described herein as performing action(s) withrespect to item(s) of interest on behalf of the user of the computingdevice 510, it should be understood that is for the sake of example andis not meant to be limiting. For example, referring now to FIGS. 6A-6C,additional non-limiting examples of initiating, on behalf of a user,automated telephone calls with various entities and causingnotifications associated with each of the various entities to berendered based on results of the automated telephone calls are depicted.However, in contrast with FIGS. 5A-5D, FIGS. 6A-6C are described hereinwith respect to requesting availability of an entity during a given timeperiod. Similar to FIGS. 5A-5D, FIGS. 6A-6C each depict a computingdevice 610 having a graphical user interface 680 related to a userrequest to initiate and/or perform automated telephone calls on behalfof the user of the computing device 610. One or more aspects of anautomated assistant associated with the user of the computing device 610(e.g., automated assistant 115 of FIG. 1 ) may be implemented locally onthe computing device 610 and/or on other computing device(s) that are innetwork communication with the computing device 610 in a distributedmanner (e.g., via network(s) 190 of FIG. 1 ). For the sake ofsimplicity, operations of FIGS. 6A-6C are described herein as beingperformed by the automated assistant (e.g., using the automated requestsystem 180 of FIG. 1 ). Although the computing device 610 of FIGS. 6A-6Cis depicted as a mobile phone, it should be understood that is not meantto be limiting. The computing device 610 can be, for example, a server,a stand-alone speaker, a speaker connected to a graphical userinterface, a laptop, a desktop computer, and/or any other client devicecapable of making telephonic calls and operating instances of theautomated assistant.

The graphical user interface 680 of FIGS. 6A-6C further includes atextual reply interface element 684 that the user may select to generateuser input via a virtual keyboard or other touch and/or typed input, anda voice reply interface element 685 that the user may select to generateuser input via microphone(s) of the computing device 610. In someimplementations, the user may generate user input via the microphone(s)without selection of the voice reply interface element 685. For example,active monitoring for audible user input via the microphone(s) may occurto obviate the need for the user to select the voice reply interfaceelement 685. In some of those and/or in other implementations, the voicereply interface element 685 may be omitted. Moreover, in someimplementations, the textual reply interface element 684 mayadditionally and/or alternatively be omitted (e.g., the user may onlyprovide audible user input). The graphical user interface 680 of FIGS.6A-6CD also includes system interface elements 681, 682, 683 that may beinteracted with by the user to cause the computing device 610 to performone or more actions.

In various implementations, the automated telephone call(s) can beinitiated and performed responsive to receiving user input that isdirected to the automated assistant, and that requests the automatedassistant initiate and perform the automated telephone call(s). The userinput can be spoken input, touch input, and/or typed input that includesan indication to initiate and perform the automated telephone call(s).Further, the automated assistant can perform action(s), on behalf of agiven user of the computing device 610, that are included in the requestduring the automated telephone call(s). As shown in FIG. 6A, thegraphical user interface 680 includes a conversation between theautomated assistant and the user of the computing device 610 (e.g., JaneDoe). The conversation includes initial user input 656A1 (e.g., typed orspoken) that includes a request (e.g., “can you find a plumber . . .this afternoon between 2:00 PM and 4:00 PM”). The automated assistantcan provide a response 652A1 (e.g., textual or synthesized speech) thatindicates the automated assistant will “call some local plumbers to seeif anyone is available”.

In some implementations, and as shown in FIG. 6A, a call detailsinterface 670 can be rendered at the computing device 610 responsive toreceiving the user input 656A1. In some versions of thoseimplementations, the call details interface 670 can be rendered at thecomputing device 610 as part of the graphical user interface 680. Insome other versions of those implementations, the call details interface670 can be a separate interface from the graphical user interface 680that overlays the user interface, and can include an interface element686 that allows the user to expand the call details interface 670 todisplay additional call details (e.g., by swiping up on the interfaceelement 686) and/or dismiss the call details interface 670 (e.g., byswiping down on the interface element 686). In other implementations,the call details interface 670 can be accessed and dismissed at any timeusing the interface element 686. Although the call details interface 670is depicted as being at the bottom of the graphical user interface 680,it should be understood that is for the sake of example and not meant tobe limiting. For example, the call details interface 670 can be renderedat a top of the graphical user interface 680, a side of the graphicaluser interface 680, or an entirely separate interface from the graphicaluser interface 680.

The call details interface 670 can include, in various implementations,a plurality of segments of selectable text (or graphical elements). Insome implementations, the segments can be selectable, such that, when agiven one of the segments is selected, the computing device 610 canperform the corresponding action. As shown in FIG. 6A, the call detailsinterface 670 includes a first segment of selectable text 671 of“Automated Telephone Call”, and a second segment of selectable text 672of “Regular Call”. Further, the first segment of selectable text 671can, when selected, provide the automated assistant an indication of adesire to initiate automated telephone call(s) using the automatedassistant, and the second segment of selectable text 672 can, whenselected, cause the automated assistant to initiate a normal telephonecall. Notably, in some versions of those implementations, the segmentsof selectable text can include associated information for the automatedtelephone call(s). For example, the first segment of selectable text 671of “Automated Telephone Call” can include a first portion of associatedinformation 671A of “Service: Plumber” associated with the plumbingservice included in the user input 656A1, a second portion of associatedinformation 671B of “Time: 2:00 PM-4:00 PM” associated with a time theplumbing service included in the user input 656A1 is being requestedduring the automated telephone call(s), and a third portion ofassociated information 671C of “Date: Jun. 11, 2020” associated with adate the plumbing service included in the user input 656A1 is beingrequested during the automated telephone call(s). By displaying theportions of the information 671A, 671B, 671C associated with theautomated telephone call(s), the user of the computing device 510 may beprovided an opportunity to modify the service being requested, arequested time of the being requested, a requested date of the servicebeing requested, and/or other information related to the service beingrequested by the user of the computing device 610. Although theautomated telephone calls described herein with respect to FIGS. 6A-6Care initiated based on the user input directed to the automatedassistant, it should be understood that is for the sake of example, andnot meant to be limiting. For example, the automated telephone call(s)can be initiated from various software applications accessible at thecomputing device 610 (e.g., a browser-based application, a contactsapplication, an email application, a text or SMS messaging application,and/or other software application), and, if the automated telephonecall(s) is initiated using spoken input, from a home screen of thecomputing device 610, from a locked screen of the computing device 610,and/or other states of the computing device 610.

For example, assume user input is detected at the computing device 610to initiate and perform automated telephone call(s) to requestavailability of a plumbing service for a given time and date (e.g., asindicated by the portions of the information 671A, 671B, 671C). Invarious implementations, the automated assistant can identify a group ofentities that are each stored in association with the “plumbing service”in one or more databases (e.g., the entities database of 153A of FIG. 1) based on the user input being indicative of the “plumbing service”. Insome implementations, the automated assistant can restrict the entitiesincluded in the group to those that are stored in association with theplumbing service, and that are within a threshold distance of a locationof the computing device 610 (e.g., determined based on GPS datagenerated by GPS sensor(s) of the computing device 610). For example,the automated assistant can initially include all entities that arestored in association with the plumbing service, and that are within 10miles of the location of the computing device 610, in the group ofentities. If none, then the automated assistant can increase thethreshold distance to include all entities that are within 20 miles ofthe location of the computing device 610, and so on. In some additionaland/or alternative implementations, the automated assistant may continueidentifying entities to include in the group until a threshold number ofentities are identified for inclusion in the group. For instance, theautomated assistance can keep increasing the threshold distance toidentify entities to include in the group until five entities areincluded in the group. If there are more than the threshold number ofentities included in the group, then the entities that satisfy one ormore criteria may be included in the group (e.g., as described ingreater detail above with respect to the entity identification engine153). Notably, even though the user input may be directed to initiatingan automated telephone call with a specific entity, or not specify anentity, the group of entities associated with the plumbing service maystill be identified.

The automated assistant can initiate and perform automated telephonecall(s) with one or more of the entities of the group until the requestis satisfied. In some implementations, the automated assistant caninitiate a first automated telephone call with a first entity of thegroup in response to receiving the user input 656A1 in FIG. 6A, anddetermine a call initiation time to initiate performance of additionalautomated telephone calls with corresponding additional entities of thegroup. As described in greater detail above (e.g., with respect to therequest performance engine 154 of FIG. 1 and the call initiation time ofFIG. 5A), the call initiation time for each of the additional automatedtelephone calls can be a static threshold duration of time, determinedbased on historical call data (e.g., stored in historical call database154A) associated with a corresponding one of the entities of the group,and dynamically modified based on progress of the automated telephonecall(s). Moreover, the automated assistant can cause correspondingnotification(s) that include result(s) of the automated telephonecall(s), prompts for the user of the computing device 510, and/or otherinformation related to the automated telephone call(s) to be rendered atthe computing device 510 (e.g., audibly via speaker(s) of the computingdevice 510 and/or visually via the graphical user interface 580 of thecomputing device 510).

For example, referring specifically to FIG. 6B, assume user input isdetected at the computing device 510 to initiate automated telephonecall(s) to request availability of a plumbing service (e.g., touch inputdirected to the first selectable graphical element 671 of FIG. 6A orspoken input corresponding to the user input 656A1). Further assume theautomated assistant identifies at least Example Plumber 1 and ExamplePlumber 2 as the entities in the group associated with plumbingservices. The automated assistant can initiate an automated telephonecall with Example Plumber 1, and request the status update regardingavailability of the plumbing service as the action to be performed basedon the user input. For instance, the automated assistant can causesynthesized speech 652B1 to be rendered at a computing device associatedwith Example Plumber 1 Representative (e.g., “are you available to fix aburst pipe in a basement between 2:00 PM and 4:00 PM today”), and canprocess audio data corresponding to information 654B1 receivedresponsive to the synthesized speech 652B1 (e.g., “No, but I amavailable today at 5:00 PM”).

Further, the automated assistant can cause further synthesized speech652B2 to be rendered at the computing device associated with ExamplePlumber 1 Representative (e.g., “Let me check with Jane Doe to see if5:00 PM works for her”) responsive to receiving the information 654B1.Based on the result of the conversation, the automated assistant cancause notification 679B to be rendered visually at the graphical userinterface (e.g., via notifications interface 690 that can supplant thecall details interface 670, and that can be expanded or dismissed usingthe interface element 686 similar to the call details interface 670).Notably, the notification 679B can include an indication that ExamplePlumber 1 is not available during the given time period (e.g., between2:00 PM and 4:00 PM), but is available at a time period subsequent tothe given time period (e.g., available at 5:00 PM), and can also includea prompt (e.g., “does that work for you?”). Moreover, the prompt maycause selectable graphical elements that are responsive to the prompt tobe rendered in the notifications interface 590. The selectable graphicalelements can include, for example, a first selectable graphical element679B1 to authorize reserving of the 5:00 PM time, a second selectablegraphical element 679B2 to decline reserving the time of 5:00 PM, and athird selectable element 679B3 for the user to join the additionalautomated telephone call. In various implementations, the automatedassistant may further provide name information, contact information, andaddress information to the Example Plumber 1 Representative if the userof the computing device 610 selects the first selectable graphicalelement 679B1 (or otherwise affirms the 5:00 PM time). However, if theuser does not respond to the prompt within a threshold duration of time(e.g., 30 seconds, 45 seconds, and/or other durations of time), then theautomated assistant may proactively terminate the automated telephonecall with the Example Plumber 1 Representative to avoid wasting furthercomputational resources. More particularly, the automated assistant cancause yet further synthesized speech to be rendered at the computingdevice of the Example Plumber 1 Representative to indicate the user'sresponse to the prompt (or lack thereof), and the automated assistantcan optionally cause a further notification to be rendered via thenotifications interface 590.

During the automated telephone call with Example Plumber 1, theautomated assistant (or a separate instance thereof) can also initiatean additional automated telephone call with Example Plumber 2 based on adetermined call initiation time associated with Example Plumber 2. Insome implementations, the call initiation time associated with ExamplePlumber 2 can be zero, such that the automated assistant can perform theautomated telephone call with Example Plumber 1 and Example Plumber 2 inparallel (e.g., in a similar manner as described above with respect toinitiating and performing the first automated telephone calls in FIGS.4A-4C). In other implementations, the additional automated telephonecalls may be staggered such that the automated assistant (and/orseparate instance(s) thereof) is generally only engaged with one entityat a given time. In some versions of those implementations, the callinitiation time associated with Example Plumber 2 can be a set durationof time associated with each of the entities in the group, such thateach of the additional automated telephone calls are initiated 30seconds after one another. In other versions of those implementations,the call initiation time associated with Example Plumber 2 can be basedon historical call data associated with Example Plumber 1 and ExamplePlumber 2. In some additional and/or alternative versions of thoseimplementations, the call initiation time associated with ExamplePlumber 2 can be dynamic and based on progress of the conversationbetween the automated assistant and the Example Plumber 1 Representativeas described in greater detail above (e.g., with respect to FIG. 5B).

For example, referring specifically to FIG. 6C, assume user input isdetected at the computing device 610 to initiate automated telephonecall(s) to reserve a plumbing service on behalf of the user of thecomputing device 610. Further assume that the result of the automatedtelephone call with the Example Plumber 1 Representative indicates thatExample Plumber 2 is not available during the given time period based onthe conversation depicted in FIG. 6B. Also assume that the additionalautomated telephone call with Example Plumber 2 is initiated 15 secondsafter the automated telephone call with Example Plumber 1. Similar tothe conversation described above with respect to FIG. 6B, the automatedassistant can cause synthesized speech 652C1 to be rendered at acomputing device associated with Example Plumber 2 Representative (e.g.,“are you available . . . between 2:00 PM and 4:00 PM today”), and canprocess audio data corresponding to information 554C1 receivedresponsive to the synthesized speech (e.g., “yes, we are available at3:00 PM, what's the address”).

Further, the automated assistant can cause further synthesized speech652C2 to be rendered at the computing device associated with the ExamplePlumber 2 Representative (e.g., “Jan Doe's address is 401 S. 4th St.”,where Jane Doe is the user of the computing device 610). Based on theresult of the conversation, the automated assistant can causenotification 679C to be rendered visually at the graphical userinterface (e.g., via notifications interface 690 that can supplant thecall details interface 670, and that can be expanded or dismissed usinginterface element 686 similar to the call details interface 670).Notably, the notification 679C can indicate that Example Plumber 2 isavailable at the given time period (e.g., 3:00 PM falling with thedesired time range of 2:00 PM and 4:00 PM). Moreover, the automatedassistant may reserve the time for the user of the computing device 610and render the notification 679C of FIG. 6C prior to receiving anyfurther user input responsive to the prompt of FIG. 6B. In this example,the automated assistant may automatically dismiss the notification andprompt of FIG. 6B. In this manner, the automated assistant can alsorequest available time periods from various entities, and reserve agiven one of the available time periods for the user of the computingdevice 610.

In various implementations, and although not shown in FIG. 4A-4C, 5B-5C,6B, or 6C, the automated assistant may prompt the representativesassociated with the entities of the group to consent to engaging in theconversation with the automated assistant upon initiating each of thecorresponding automated telephone calls. For example, with respect toFIG. 4A, the automated assistant can cause synthesized speech of “Do youconsent to engaging in a conversation with an automated assistant” to berendered at the computing device of the Example Store 1 Representativeprior to causing rendering of the synthesized speech 452A1. If theautomated assistant received information responsive to the prompt thatindicates the Example Store 1 Representative consents to engaging in theconversation, then the automated assistant can continue the conversationin the manner described above with respect to FIG. 4A. Moreover, theautomated assistant may not request that Example Store 1 Representativeconsent to engaging in the conversation with the example representativeduring the second automated telephone call since Example Store 1Representative has already consented to engaging in the conversation.However, if the automated assistant does not receive informationresponsive to the prompt that indicates the Example Store 1Representative consents to engaging in the conversation, then theautomated assistant can terminate the first automated call with ExampleStore 1 Representative.

FIG. 7 is a block diagram of an example computing device 710 that mayoptionally be utilized to perform one or more aspects of techniquesdescribed herein. In some implementations, one or more of a clientdevice, cloud-based automated assistant component(s), and/or othercomponent(s) may comprise one or more components of the examplecomputing device 710.

Computing device 710 typically includes at least one processor 714 whichcommunicates with a number of peripheral devices via bus subsystem 712.These peripheral devices may include a storage subsystem 724, including,for example, a memory subsystem 725 and a file storage subsystem 726,user interface output devices 720, user interface input devices 722, anda network interface subsystem 716. The input and output devices allowuser interaction with computing device 710. Network interface subsystem716 provides an interface to outside networks and is coupled tocorresponding interface devices in other computing devices.

User interface input devices 722 may include a keyboard, pointingdevices such as a mouse, trackball, touchpad, or graphics tablet, ascanner, a touchscreen incorporated into the display, audio inputdevices such as voice recognition systems, microphones, and/or othertypes of input devices. In general, use of the term “input device” isintended to include all possible types of devices and ways to inputinformation into computing device 710 or onto a communication network.

User interface output devices 720 may include a display subsystem, aprinter, a fax machine, or non-visual displays such as audio outputdevices. The display subsystem may include a cathode ray tube (CRT), aflat-panel device such as a liquid crystal display (LCD), a projectiondevice, or some other mechanism for creating a visible image. Thedisplay subsystem may also provide non-visual display such as via audiooutput devices. In general, use of the term “output device” is intendedto include all possible types of devices and ways to output informationfrom computing device 710 to the user or to another machine or computingdevice.

Storage subsystem 724 stores programming and data constructs thatprovide the functionality of some or all of the modules describedherein. For example, the storage subsystem 724 may include the logic toperform selected aspects of the methods disclosed herein, as well as toimplement various components depicted in FIG. 1 .

These software modules are generally executed by processor 714 alone orin combination with other processors. Memory 725 used in the storagesubsystem 724 can include a number of memories including a main randomaccess memory (RAM) 730 for storage of instructions and data duringprogram execution and a read only memory (ROM) 732 in which fixedinstructions are stored. A file storage subsystem 726 can providepersistent storage for program and data files, and may include a harddisk drive, a floppy disk drive along with associated removable media, aCD-ROM drive, an optical drive, or removable media cartridges. Themodules implementing the functionality of certain implementations may bestored by file storage subsystem 726 in the storage subsystem 724, or inother machines accessible by the processor(s) 714.

Bus subsystem 712 provides a mechanism for letting the variouscomponents and subsystems of computing device 710 communicate with eachother as intended. Although bus subsystem 712 is shown schematically asa single bus, alternative implementations of the bus subsystem 712 mayuse multiple busses.

Computing device 710 can be of varying types including a workstation,server, computing cluster, blade server, server farm, or any other dataprocessing system or computing device. Due to the ever-changing natureof computers and networks, the description of computing device 710depicted in FIG. 7 is intended only as a specific example for purposesof illustrating some implementations. Many other configurations ofcomputing device 710 are possible having more or fewer components thanthe computing device depicted in FIG. 7 .

In situations in which the systems described herein collect or otherwisemonitor personal information about users, or may make use of personaland/or monitored information), the users may be provided with anopportunity to control whether programs or features collect userinformation (e.g., information about a user's social network, socialactions or activities, profession, a user's preferences, or a user'scurrent geographic location), or to control whether and/or how toreceive content from the content server that may be more relevant to theuser. Also, certain data may be treated in one or more ways before it isstored or used, so that personal identifiable information is removed.For example, a user's identity may be treated so that no personalidentifiable information can be determined for the user, or a user'sgeographic location may be generalized where geographic locationinformation is obtained (such as to a city, ZIP code, or state level),so that a particular geographic location of a user cannot be determined.Thus, the user may have control over how information is collected aboutthe user and/or used.

In some implementations, a method implemented by one or more processorsis provided, and includes identifying an item of interest, identifying agroup of entities associated with the item of interest, and initiating,by an automated assistant, performance of a corresponding automatedtelephone call with each of the entities of the group to render one ormore corresponding instances of synthesized speech that request acorresponding status update regarding the item of interest. The methodfurther includes, during performance of the corresponding automatedtelephone call with a given entity, of the entities, of the group:requesting, through rendering of one or more of the correspondinginstances of synthesized speech, the corresponding status updateregarding the item of interest from a representative associated with thegiven entity, and receiving, from the representative associated with thegiven entity, information regarding the item of interest responsive torequesting the corresponding status update. The method further includesdetermining, based on the received information regarding the item ofinterest, a temporal delay before initiating performance of a subsequentcorresponding automated telephone call with the given entity to requesta further corresponding status update regarding the item of interest,and initiating, by the automated assistant, performance of thesubsequent corresponding automated telephone call with the given entityresponsive to lapse of the temporal delay.

These and other implementations of technology disclosed herein canoptionally include one or more of the following features.

In some implementations, the received information regarding the item ofinterest indicates availability of the item of interest at the givenentity and an available quantity of the item of interest at the givenentity.

In some versions of those implementations, determining the temporaldelay based on the received information regarding the item of interestincludes determining whether the available quantity of the item ofinterest at the given entity satisfies a quantity threshold, and inresponse to determining that the available quantity of the item ofinterest at the given entity satisfies the quantity threshold, assigninga first period of time as the temporal delay. In some further versionsof those implementations, the method further includes in response todetermining that the available quantity of the item of interest thegiven entity fails to satisfy the quantity threshold, assigning a secondperiod of time as the temporal delay. The second period of time is of ashorter temporal duration than the first period of time and, as aresult, lapses prior to the first period of time. In yet furtherversions of those implementations, the second period of time lapsesduring a same day that the automated call was initiated, and the firstperiod of time lapses during a following day that is subsequent to thesame day that the automated call was initiated.

In some versions of those implementations, the method further includesupdating a search result associated with the given entity to indicateone or more of: the availability of the item of interest at the givenentity, or the available quantity of the item of interest at the givenentity. In some further versions of those implementations, the methodfurther includes analyzing the updated search results associated withthe given entity and previously updated search results associated withthe given entity, and based on analyzing the updated search results andthe previously updated search results: predicting, for a future time,future availability of the item of interest at the given entity, orpredicting, for the future time, a future available quantity of the itemof interest at the given entity.

In some implementations, the method further includes, during performanceof the corresponding automated telephone call with the given entity:verifying whether the given entity is associated with the item ofinterest, and wherein determining the temporal delay is in response todetermining that the given entity is associated with the item ofinterest based on the verifying. In some versions of thoseimplementations, the method further includes, in response to determiningthat the given entity is not associated with the item of interest basedon the verifying: refraining from determining the temporal delay; andremoving the given entity from the group of entities associated with theitem of interest. Removing the given entity from the group of entitiesassociated with the item of interest prevents initiation of anysubsequent automated call, with the given entity, that is related to theitem of interest.

In some implementations, the representative associated with the givenentity is one of: a human representative, or an additional automatedassistant associated with the given entity.

In some implementations, initiating performance of the correspondingautomated telephone call with each of the entities of the group torequest the corresponding status update regarding the item of interestincludes initiating performance of the corresponding automated telephonecall with the given entity, and simultaneously initiating performance ofat least an additional corresponding automated telephone call with anadditional entity, of the entities, of the group. In some versions ofthose implementations, the method further includes, during performanceof the additional corresponding automated telephone call with theadditional entity: requesting through rendering of the one or more ofthe corresponding instances of synthesized speech, the correspondingstatus update regarding the item of interest from an additionalrepresentative associated with the additional entity, and receiving,from the additional representative associated with the additionalentity, additional information regarding the item of interest responsiveto requesting the corresponding status update. The method furtherincludes determining, based on the received additional informationregarding the item of interest, an additional temporal delay beforeinitiating performance of a subsequent additional correspondingautomated telephone call with the additional entity to request thefurther corresponding status update regarding the item of interest. Afirst time period is assigned to the temporal delay, and a distinctsecond time period is assigned to the additional temporal delay. Themethod further includes initiating, by the automated assistant,performance of the subsequent additional corresponding automatedtelephone call with the additional entity responsive to lapse of theadditional temporal delay.

In some implementations, identifying the group of the entitiesassociated with the item of interest includes accessing one or moredatabases to identify the entities stored in association with the itemof interest as the group of the entities. In some versions of thoseimplementations, each of the entities of the identified group arelocated within a particular geographic region.

In some implementations, the method requesting the status updateregarding the item of interest from the representative associated withthe given entity further includes generating synthesized speech audiodata that captures one or more of the corresponding instances ofsynthesized speech that request the corresponding status updateregarding the item of interest, and rendering of one or more of thecorresponding instances of synthesized speech includes causing thesynthesized speech to be rendered at an additional computing device ofthe representative associated with the given entity.

In some implementations, a method implemented by one or more processorsis provided, and includes receiving, from a computing device of a user,a request to initiate performance of an automated telephone call onbehalf of the user, identifying, based on the request, an action to beperformed during the automated telephone call, identifying, based on theaction to be performed during the automated call, a group of entitiesthat are each capable of satisfying the request, and initiating, by anautomated assistant, performance of the automated telephone call with agiven entity, of the entities, of the group. The method furtherincludes, during performance of the automated telephone call with thegiven entity: engaging in a conversation with a representativeassociated with the given entity to perform the action through renderingof one or more corresponding instances of synthesized speech related tothe request, and initiating, by the automated assistant, performance ofan additional automated telephone call with an additional entity, of theentities, of the group. The method further includes generating anotification that includes a result of the conversation with therepresentative, and causing the notification to be rendered via thecomputing device of the user.

These and other implementations of technology disclosed herein canoptionally include one or more of the following features.

In some implementations, the method further includes determining, basedon the result of the conversation during performance of the automatedtelephone call, the given entity will satisfy the request, and inresponse to determining that the given entity will satisfy the request,terminating performance of the additional automated telephone call withthe additional entity.

In some implementations, the method further includes determining, uponinitiating performance of the automated telephone call with the givenentity, that the representative associated with the given entity hasplaced the automated telephone call on hold, determining that therepresentative associated with the given entity has resumed theautomated telephone call, and initiating performance of the additionalautomated telephone call with the additional entity is in response todetermining that the representative associated with the given entity hasresumed the automated telephone call.

In some implementations, the method further includes, during performanceof the corresponding automated telephone call with the given entity:determining, based on historical call data associated with the entity, acall initiation time to initiate performance of the additional automatedtelephone call with the additional entity, and initiating performance ofthe additional automated telephone call with the additional entity is inresponse to determining a current time matches the call initiation time.In some versions of those implementations, the historical call dataassociated with the additional entity includes one or more of: anindication that the entity is associated with an interactive voiceresponse system and a duration of time to navigate the interactive voiceresponse system, an indication of a duration of time of previousautomated telephone calls with the entity, or an indication of aduration of an initial hold time during previous automated telephonecalls with the entity.

In some implementations, the action to be performed during the automatedtelephone call includes requesting a status update regarding an item ofinterest associated with the entities of the group. In some versions ofthose implementations, engaging in the conversation with therepresentative associated with the given entity to perform the actionincludes requesting the status update regarding the item of interestfrom the representative associated with the given entity, and receiving,from the representative associated with the given entity, informationregarding the item of interest responsive to requesting the statusupdate.

In some further versions of those implementations, the receivedinformation regarding the item of interest indicates availability of theitem of interest at the given entity, and the notification that includesthe result of the conversation indicates that the item of interest isavailable at the given entity.

In yet further versions of those implementations, the method furtherincludes in response to determining that the received informationregarding the item of interest indicates availability of the item ofinterest, requesting that the representative associated with the givenentity place the item of interest on hold, at the given entity, for theuser, and the notification that includes the result of the conversationfurther indicates the item of interest was placed on hold, at the givenentity, for the user. In yet further versions of those implementations,the method further includes, in response to determining that thereceived information regarding the item of interest indicatesavailability of the item of interest, submitting, to the representativeassociated with the given entity, and on behalf of the user, additionalinformation to acquire the item of interest. In even yet furtherversions of those implementations, the notification that includes theresult of the conversation further requests authorization, from theuser, to submit the additional information submitted to acquire the itemof interest. In even yet further versions of those implementations, thenotification that includes the result of the conversation furtherindicates that the additional information was submitted to acquire theitem of interest.

In yet further versions of those implementations, the notificationfurther requests that the user join the automated telephone call. In yetfurther versions of those implementations, the item of interest isspecified in the request to initiate performance of the automatedtelephone call on behalf of the user. In yet further versions of thoseimplementations, the method further includes, in response to determiningthat the item of interest is available at the given entity, terminatingperformance of the additional automated telephone call with theadditional entity.

In some further versions of those implementations, the receivedinformation regarding the item of interest indicates the item ofinterest is not available at the given entity, and the notification thatincludes the result of the conversation indicates that the item ofinterest is not available at the given entity. In yet further versionsof those implementations, the method further includes, in response todetermining that the item of interest is not available at the givenentity, terminating performance of the automated telephone call with thegiven entity.

In some implementations, the action to be performed during the automatedtelephone call includes requesting availability of the entities of thegroup during a given period of time. In some versions of thoseimplementations, engaging in the conversation with the representativeassociated with the given entity to perform the action includesrequesting, from the representative associated with the given entity,the availability of the given entity during the given period of time,and receiving, from the representative associated with the given entity,information regarding the availability of the given entity during thegiven period of time.

In some further versions of those implementations, the receivedinformation indicates that the given entity is available during thegiven period of time, and the notification that includes the result ofthe conversation indicates that the given entity is available during thegiven period of time. In yet further versions of those implementations,the method further includes, in response to determining that the givenentity is available during the given period of time: requesting that therepresentative associated with the given entity hold the given timeperiod, available for given entity, for the user, and the notificationthat includes the result of the conversation further indicates the giventime period, available for the given entity, is being held for the user.In yet further versions of those implementations, the notificationfurther requests that the user join the automated telephone call. In yetfurther versions of those implementations, the method further includes,in response to determining that the given entity is available during thegiven period of time, terminating performance of the additionalautomated telephone call with the additional entity.

In some further versions of those implementations, the receivedinformation indicates that the given entity is not available during thegiven period of time, and the notification that includes the result ofthe conversation indicates that the given entity is not available duringthe given period of time. In yet further versions of thoseimplementations, the method further includes, in response to determiningthat the given entity is not available during the given period of time,terminating performance of the automated telephone call with the givenentity.

In some implementations, identifying the group of the entities that areeach capable of satisfying the request includes identifying a locationof the computing device of the user, determining whether the entitiesare within a threshold distance of the location of the computing deviceof the user, determining whether the entities are capable of satisfyingthe request, and in response to determining the entities are within thethreshold distance of the location of the computing device and inresponse to determining the entities are capable of satisfying therequest, including the entities in the group of entities. In someversions of those implementations, the method further includes,subsequent to receiving the request to initiate performance of theautomated telephone call on behalf of the user, receiving from anadditional computing device of an additional user, an additional requestto initiate performance of a separate automated telephone call on behalfof the additional user. The additional request from the additional useris the same as the request from the user. The method further includesrefraining, based on the result of the conversation with therepresentative associated with the given entity or an additional resultof an additional conversation with an additional representativeassociated with the additional entity, from initiating the separateautomated telephone call, generating an additional notification thatincludes the result of the conversation with the representative or anadditional result of the additional conversation with the additionalrepresentative, and causing the additional notification to be renderedvia the additional computing device of the user.

In some implementations, receiving the request to initiate performanceof the automated telephone call on behalf of the user includes one of:receiving touch or typed input at the computing device of the user via asearch interface or an automated assistant interface, or receivingspoken input via one or more microphones of the computing device of theuser.

In some implementations, the representative associated with the givenentity is one of: a human representative, or an additional automatedassistant associated with the given entity.

In addition, some implementations include one or more processors (e.g.,central processing unit(s) (CPU(s)), graphics processing unit(s)(GPU(s), and/or tensor processing unit(s) (TPU(s)) of one or morecomputing devices, where the one or more processors are operable toexecute instructions stored in associated memory, and where theinstructions are configured to cause performance of any of theaforementioned methods. Some implementations also include one or morenon-transitory computer readable storage media storing computerinstructions executable by one or more processors to perform any of theaforementioned methods. Some implementations also include a computerprogram product including instructions executable by one or moreprocessors to perform any of the aforementioned methods.

It should be appreciated that all combinations of the foregoing conceptsand additional concepts described in greater detail herein arecontemplated as being part of the subject matter disclosed herein. Forexample, all combinations of claimed subject matter appearing at the endof this disclosure are contemplated as being part of the subject matterdisclosed herein.

What is claimed is:
 1. A method implemented by one or more processorscomprising: analyzing query activity of a plurality of users; anddetermining, based on analyzing the query activity of the plurality ofusers, whether a threshold number of queries related to an item havebeen submitted by the plurality of users; and in response to determiningthat a threshold number of queries related to an item have beensubmitted by the plurality of users: identifying the item as an item ofinterest; identifying a group of entities associated with the item ofinterest; causing an automated assistant to perform a plurality ofcorresponding automated telephone calls with the entities of the group;determining, based on the automated assistant performing the pluralityof corresponding automated telephone calls with the entities of thegroup, a corresponding status update, for each of the entities of thegroup, regarding the item of interest; and causing, based on thecorresponding status updates for each of the entities of the group, theautomated assistant to update one or more databases to indicate one ormore of: a corresponding availability of the item of interest, or anavailable quantity of the item of interest.
 2. The method of claim 1,further comprising: determining, based on analyzing the query activityof the plurality of users, whether the threshold number of queriesrelated to the item have been submitted by the plurality of users over athreshold duration of time, wherein identifying the item as the item ofinterest is further in response to determining that the threshold numberof queries related to the item have been submitted by the plurality ofusers over the threshold duration of time.
 3. The method of claim 2,further comprising: in response to determining that the threshold numberof queries related to the item have not been submitted by the pluralityof users over the threshold duration of time: refraining fromidentifying the item as the item of interest.
 4. The method of claim 1,further comprising: determining, based on analyzing the query activityof the plurality of users, whether the threshold number of queriesrelated to the item have been submitted by the plurality of users thatare located within a particular geographic region, wherein identifyingthe item as the item of interest is further in response to determiningthat the threshold number of queries related to the item have beensubmitted by the plurality of users are located within the particulargeographic region.
 5. The method of claim 4, further comprising: inresponse to determining that the threshold number of queries related tothe item have not been submitted by the plurality of users that arelocated within the particular geographic region: refraining fromidentifying the item as the item of interest.
 6. The method of claim 4,wherein identifying the group of entities associated with the item ofinterest comprises: identifying the entities for inclusion in the groupbased on the entities being associated with the item of interest andbased on the entities located within the particular geographic region.7. The method of claim 1, wherein causing the automated assistant toperform a given corresponding automated telephone call, of the pluralityof corresponding automated telephone calls, with a given entity, of theentities of the group, comprises: causing, based on a givencorresponding telephone number associated with the given entity, theautomated assistant to initiate the given corresponding automatedtelephone call; and during the given corresponding automated telephonecall: causing the automated assistant to request, from a givencorresponding representative associated with the given entity, thecorresponding status update regarding the item of interest; andreceiving, from the given corresponding representative associated withthe given entity, the corresponding status update regarding the item ofinterest.
 8. The method of claim 7, wherein the given correspondingrepresentative associated with the given entity is one of: a givencorresponding human representative, or a given corresponding additionalautomated assistant associated with the given entity.
 9. The method ofclaim 1, wherein the one or more databases are accessible via aplurality of client devices.
 10. The method of claim 1, furthercomprising: subsequent to causing the one or more databases to beupdated: receiving, from a user that is in addition to the plurality ofusers, a search query via a client device of the user, the search queryincluding one or more terms related to the item of interest; obtaining,responsive to the search query and from the one or more databases, oneor more search results associated with one or more of the plurality ofentities; and causing one or more of the search results to be providedfor presentation to the user via the client device.
 11. The method ofclaim 1, wherein the automated assistant performs multiple of theplurality of corresponding automated telephone calls with the entitiesof the group in a parallel manner.
 12. A system comprising: at least onehardware processor; and memory storing instructions that, when executed,cause the at least one hardware processor to: analyze query activity ofa plurality of users; and determine, based on analyzing the queryactivity of the plurality of users, whether a threshold number ofqueries related to an item have been submitted by the plurality ofusers; and in response to determining that a threshold number of queriesrelated to an item have been submitted by the plurality of users:identify the item as an item of interest; identify a group of entitiesassociated with the item of interest; cause an automated assistant toperform a plurality of corresponding automated telephone calls with theentities of the group; determine, based on the automated assistantperforming the plurality of corresponding automated telephone calls withthe entities of the group, a corresponding status update, for each ofthe entities of the group, regarding the item of interest; and cause,based on the corresponding status updates for each of the entities ofthe group, the automated assistant to update one or more databases toindicate one or more of: a corresponding availability of the item ofinterest, or an available quantity of the item of interest.
 13. Thesystem of claim 12, wherein the instructions further cause the at leastone hardware processor to: determine, based on analyzing the queryactivity of the plurality of users, whether the threshold number ofqueries related to the item have been submitted by the plurality ofusers over a threshold duration of time, wherein identifying the item asthe item of interest is further in response to determining that thethreshold number of queries related to the item have been submitted bythe plurality of users over the threshold duration of time.
 14. Thesystem of claim 13, wherein the instructions further cause the at leastone hardware processor to: in response to determining that the thresholdnumber of queries related to the item have not been submitted by theplurality of users over the threshold duration of time: refrain fromidentifying the item as the item of interest.
 15. The system of claim12, wherein the instructions further cause the at least one hardwareprocessor to: determine, based on analyzing the query activity of theplurality of users, whether the threshold number of queries related tothe item have been submitted by the plurality of users that are locatedwithin a particular geographic region, wherein identifying the item asthe item of interest is further in response to determining that thethreshold number of queries related to the item have been submitted bythe plurality of users are located within the particular geographicregion.
 16. The system of claim 15, wherein the instructions furthercause the at least one hardware processor to: in response to determiningthat the threshold number of queries related to the item have not beensubmitted by the plurality of users that are located within theparticular geographic region: refrain from identifying the item as theitem of interest.
 17. The system of claim 15, wherein the instructionsto identify the group of entities associated with the item of interestcomprise instructions to: identify the entities for inclusion in thegroup based on the entities being associated with the item of interestand based on the entities located within the particular geographicregion.
 18. The system of claim 12, wherein the instructions to causethe automated assistant to perform a given corresponding automatedtelephone call, of the plurality of corresponding automated telephonecalls, with a given entity, of the entities of the group, compriseinstructions to: cause, based on a given corresponding telephone numberassociated with the given entity, the automated assistant to initiatethe given corresponding automated telephone call; and during the givencorresponding automated telephone call: cause the automated assistant torequest, from a given corresponding representative associated with thegiven entity, the corresponding status update regarding the item ofinterest; and receive, from the given corresponding representativeassociated with the given entity, the corresponding status updateregarding the item of interest.
 19. A non-transitory computer-readablestorage medium storing instructions that, when executed by at least onehardware processor, cause the at least one hardware processor to performoperations, the operations comprising: analyzing query activity of aplurality of users; and determining, based on analyzing the queryactivity of the plurality of users, whether a threshold number ofqueries related to an item have been submitted by the plurality ofusers; and in response to determining that a threshold number of queriesrelated to an item have been submitted by the plurality of users:identifying the item as an item of interest; identifying a group ofentities associated with the item of interest; causing an automatedassistant to perform a plurality of corresponding automated telephonecalls with the entities of the group; determining, based on theautomated assistant performing the plurality of corresponding automatedtelephone calls with the entities of the group, a corresponding statusupdate, for each of the entities of the group, regarding the item ofinterest; and causing, based on the corresponding status updates foreach of the entities of the group, the automated assistant to update oneor more databases to indicate one or more of: a correspondingavailability of the item of interest, or an available quantity of theitem of interest.